computer vision and image analysis

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Introduction Computer Vision and Image Analysis Paul F. Whelan Professor of Computer Vision Centre for Image Processing and Analysis, Dublin City University, Ireland [email protected] Main mission : To develop and design novel computer vision algorithms for automatic extraction of key features that are employed in the robust interpretation and quantitative analysis of image and video data. CIPA Research Areas : Industrial and Machine Vision - automatic identification of the defects on the surface of the painted slates, development of robust solutions for non-ferrous material sorting/classification, development of custom image acquisition sensors (2D and 3D), automatic evaluation of sediment profile imagery (SPI), automatic correction of optical and chromatic distortions. Medical Imaging – development of CAD solutions for CT colonography, MR and ultrasound cardiac/vascular analysis, identification of landmarks in 3D face data. Traditional Computer Vision Research - perceptual analysis of image and video data, texture and colour analysis, image enhancement and invariant feature extraction. Custom solutions for Biomedical Research : cellular tracking and

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Computer Vision and Image Analysis Paul F. Whelan Professor of Computer Vision Centre for Image Processing and Analysi

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Page 1: Computer Vision and Image Analysis

IntroductionComputer Vision and Image AnalysisPaul F. Whelan Professor of Computer Vision

Centre for Image Processing and Analysis, Dublin City University, [email protected]

Main mission: To develop and design novel computer vision algorithms for automatic extraction of key features that are employed in the robust interpretation and quantitative analysis of image and video data.  

CIPA Research Areas:• Industrial and Machine Vision - automatic identification of the defects on the surface of the

painted slates, development of robust solutions for non-ferrous material sorting/classification, development of custom image acquisition sensors (2D and 3D), automatic evaluation of sediment profile imagery (SPI), automatic correction of optical and chromatic distortions.

• Medical Imaging – development of CAD solutions for CT colonography, MR and ultrasound cardiac/vascular analysis, identification of landmarks in 3D face data.

• Traditional Computer Vision Research - perceptual analysis of image and video data, texture and colour analysis, image enhancement and invariant feature extraction.

• Custom solutions for Biomedical Research: cellular tracking and mitosis detection, segmentation of mitochondria in EM images.

Page 2: Computer Vision and Image Analysis

3D face analysis / Morphometrics

Computer Vision and Image Analysis