local features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · matching local self-similarities across...
TRANSCRIPT
![Page 1: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/1.jpg)
Local Features
![Page 2: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/2.jpg)
Correspondence Problem & Keypoint
• Correspondence: matching points, patches, edges, or regions across images
≈
![Page 3: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/3.jpg)
Keypoint Matching
K. Grauman, B. Leibe
Af Bf
A1
A2 A3
Tffd BA ),(
![Page 4: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/4.jpg)
![Page 5: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/5.jpg)
![Page 6: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/6.jpg)
![Page 7: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/7.jpg)
![Page 8: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/8.jpg)
![Page 9: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/9.jpg)
DoG – Efficient Computation
• Computation in Gaussian scale pyramid
K. Grauman, B. Leibe
s
Original image 4
1
2s
Sampling with
step s4 =2
s
s
s
![Page 10: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/10.jpg)
Find local maxima in position-scale space of Difference-of-Gaussian
K. Grauman, B. Leibe
)()( ss yyxx LL
s
s2
s3
s4
s5
List of (x, y, s)
![Page 11: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/11.jpg)
Results: Difference-of-Gaussian
K. Grauman, B. Leibe
![Page 12: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/12.jpg)
Challenges in Keypoints
• Scale change
• Rotation
• Occlusion
• Illumination
……
![Page 13: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/13.jpg)
SIFT
• Scale-space extrema detection
• Keypoint localization
• Orientation assignment
• Keypoint descriptor
![Page 14: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/14.jpg)
Scale-space extrema detection
• Find the points, whose surrounding patches (with some scale) are distinctive
• An approximation to the scale-normalized Laplacian of Gaussian
Maxima and minima in a
3*3*3 neighborhood
![Page 15: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/15.jpg)
Eliminating edge points
![Page 16: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/16.jpg)
Orientation assignment
• Assign an orientation to each keypoint, the keypoint descriptor can be represented relative to this orientation and therefore achieve invariance to image rotation
• Compute magnitude and orientation on the Gaussian smoothed images
![Page 17: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/17.jpg)
Orientation assignment
• A histogram is formed by quantizing the orientations into 36 bins;
• Peaks in the histogram correspond to the orientations of the patch;
• For the same scale and location, there could be multiple keypoints with different orientations;
![Page 18: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/18.jpg)
T. Tuytelaars, B. Leibe
Orientation normalization
• Compute orientation histogram
• Select dominant orientation
• Normalize: rotate to fixed orientation
0 2 p
![Page 19: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/19.jpg)
SIFT vector formation • Computed on rotated and scaled version of window
according to computed orientation & scale
– resample the window
• Based on gradients weighted by a Gaussian of variance half the window (for smooth falloff)
![Page 20: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/20.jpg)
SIFT vector formation • 4x4 array of gradient orientation histogram weighted by
magnitude
• 8 orientations x 4x4 array = 128 dimensions
• Motivation: some sensitivity to spatial layout, but not too much.
• Gaussian weight
showing only 2x2 here but is 4x4
![Page 21: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/21.jpg)
A result
![Page 22: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/22.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 23: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/23.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 24: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/24.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 25: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/25.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 26: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/26.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 27: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/27.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 28: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/28.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 29: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/29.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 30: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/30.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 31: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/31.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 32: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/32.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 33: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/33.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 34: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/34.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 35: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/35.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 36: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/36.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 37: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/37.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 38: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/38.jpg)
Maximally Stable Extremal Regions [Matas ‘02]
• Select regions that stay stable over a large parameter range
K. Grauman, B. Leibe
![Page 39: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/39.jpg)
Example Results: MSER
39 K. Grauman, B. Leibe
![Page 40: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/40.jpg)
Self-similarity Descriptor
Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007
![Page 41: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/41.jpg)
Self-similarity Descriptor
Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007
![Page 42: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/42.jpg)
Self-similarity Descriptor
Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007
![Page 43: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/43.jpg)
Local Descriptors
• Most features can be thought of as templates, histograms (counts), or combinations
• The ideal descriptor should be – Robust
– Distinctive
– Compact
– Efficient
• Most available descriptors focus on edge/gradient information – Capture texture information
– Color rarely used
K. Grauman, B. Leibe
![Page 44: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/44.jpg)
SIFT Repeatability
Lowe IJCV 2004
![Page 45: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/45.jpg)
SIFT Repeatability
![Page 46: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/46.jpg)
Object Recognition
Computer Vision
![Page 47: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/47.jpg)
![Page 48: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/48.jpg)
![Page 49: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/49.jpg)
![Page 50: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/50.jpg)
![Page 51: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/51.jpg)
![Page 52: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/52.jpg)
![Page 53: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/53.jpg)
![Page 54: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/54.jpg)
![Page 55: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/55.jpg)
![Page 56: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/56.jpg)
![Page 57: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/57.jpg)
3D Object Recognition
![Page 58: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/58.jpg)
3D Shape Reconstruction
![Page 59: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/59.jpg)
RGBD Camera based object recognition
![Page 60: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/60.jpg)
3D Model based object recognition
![Page 61: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/61.jpg)
3D Model based object recognition
![Page 62: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/62.jpg)
3D Model based object recognition
![Page 63: Local Features - khu.ac.krcvlab.khu.ac.kr/cvg10.pdf · Matching Local Self-Similarities across Images and Videos, Shechtman and Irani, 2007 . Local Descriptors •Most features can](https://reader034.vdocuments.us/reader034/viewer/2022050716/5eb6f72adc8e455b9e6001d4/html5/thumbnails/63.jpg)
Paper list
“Frustum PointNets for 3D Object Detection from RGB-D Data”
Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas
“You Only Look Once: Unified, Real-Time Object Detection”
Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi
“Squeeze-and-Excitation Networks”
Jie Hu, Li Shen, Gang Sun
“Adversarial Complementary Learning forWeakly Supervised Object
Localization”
Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, Thomas Huang