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Exploring Computer Vision: From Image Formation to Face Recognition Techniques

This resource delves into the fundamentals of computer vision, covering key topics including image formation, early vision principles, and cognitive aspects in psychology. It further examines critical components of face recognition, discussing techniques for recognition under various conditions, such as low-resolution images and occlusion. The study discusses segmentation strategies and the importance of context and illumination. Essential theories and algorithms, such as PCA, LDA, and Hough transforms in the realm of image processing, are also highlighted to provide a comprehensive understanding of these complex subjects.

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Exploring Computer Vision: From Image Formation to Face Recognition Techniques

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Presentation Transcript

  1. CV in a Nutshell (I) Yi Li http://users.cecs.anu.edu.au/~yili/CVinNutshell.htm

  2. Outline • Introduction • Image Formation • Early vision • Cognition in psychology • Face recognition (I)

  3. Paper discussion (1) • Recognition by Components: • Segmentation: blocks, cylinders, wedges, cones • Curvature, collinearity, symmetry, parallel • Contour, surface, texture • Occlusion • Top-down or bottom-up? • Relation: pairwise? http://euron.upc.es/dbtm/show_image.php?id=36

  4. Paper discussion (2) • Face Recognition • extremely low-resolution images (Yang and Ma) • Occlusion (sparse) • Component vshollistic • Context! • Facial expression (Cohn) • Illumination (Basri and Jacobs) • Specialized (Martinez)

  5. Image Formation • Geometry • image plane • projection • Physics of light • Brightness / Illumination • Light source • Lambertian • scattered such that the apparent brightness of the surface to an observer is the same regardless of the observer's angle of view (wiki) nikonweb.com

  6. Lighting http://www.cs.umd.edu/~djacobs/CMSC828/Lighting.pdf

  7. Early Vision • Early year of computer vision • David Marr (Psychologist, MIT) • Azriel Rosenfeld (Mathematician, Maryland) • Takeo Kanade (Engineer, CMU) • Visual path • How early? • Recognition? • Saliency / gist scienceblogs.com http://i.neoseeker.com/mgv/436139-Triforce%20of%20Wisdom/139/15/lizard_display.jpg

  8. Illusion • Aperture problem • http://www.cfar.umd.edu/~fer/optical/movement2.html • http://www.michaelbach.de/ot/

  9. Skeletonization http://www.inf.u-szeged.hu/~palagyi/skel/skel.html

  10. Template Matching • Find transformation to align two images • cost function • Example: Chamfer Matching • Example 2: Hough transform • Example 3: Probabilistic voting http://www.gavrila.net/Research/Chamfer_System/chamfer_system.html

  11. Deformable • Shape matching • Shape Context • Snake • Active Contour, Active Appearance • Articulated objects • Scissor • Human body

  12. Face Recognition • Linear subspaces • PCA and LDA • EigenfacesvsFisherfaces http://www.cs.umd.edu/~djacobs/CMSC828/LinearSubspacesGeometry.pdf

  13. Q/A • Introduction • Image Formation • Early vision • Cognition in psychology • Face recognition (I)

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