Object categorization : computer and human vision perspectives /
Dickinson, Sven J.
Cambridge : Cambridge University Press,
2009.
"This edited volume presents a unique multidisciplinary perspective on the problem of visual object categorization. The result of a series of four highly successful workshops on the topic, the book gathers many of the most distinguished researchers from both computer and human vision to reflect on their experience, identify open problems, and foster a cross-disciplinary discussion with the idea that parallel problems and solutions have arisen in both domains. Twenty-seven of these workshop speakers have contributed chapters, including fourteen from computer vision and thirteen from human vision. Their contributions range from broad perspectives on the problem to more specific approaches, collectively providing important historical context, identifying the major challenges, and presenting recent research results. This multidisciplinary collection is the first of its kind on the topic of object categorization, providing an outstanding context for graduate students and researchers in both computer and human vision"--Provided by publisher.
Includes bibliographical references and index.
"This edited volume presents a unique multidisciplinary perspective on the problem of visual object categorization. The result of a series of four highly successful workshops on the topic, the book gathers many of the most distinguished researchers from both computer and human vision to reflect on their experience, identify open problems, and foster a cross-disciplinary discussion with the idea that parallel problems and solutions have arisen in both domains. Twenty-seven of these workshop speakers have contributed chapters, including fourteen from computer vision and thirteen from human vision. Their contributions range from broad perspectives on the problem to more specific approaches, collectively providing important historical context, identifying the major challenges, and presenting recent research results. This multidisciplinary collection is the first of its kind on the topic of object categorization, providing an outstanding context for graduate students and researchers in both computer and human vision"--Provided by publisher.
The evolution of object categorization and the challenge of image abstraction / Sven Dickinson -- A strategy for understanding how the brain accomplishes object recognition / James J. DiCarlo -- Visual recognition circa 2008 / Pietro Perona -- On what it means to see, and what we can do about it / Shimon Edelman -- Generic object recognition by inference of 3-D volumetric parts / Gérard Medioni -- What has fMRI taught us about object recognition? / Kalanit Grill-Spector -- Object recognition through reasoning about functionality : a survey of related work / Kevin Bowyer, Melanie Sutton, and Louise Startk -- The interface theory of perception : natural selection drives true perception to swift extinction / Donald D. Hoffman -- Words and pictures : categories, modifiers, depiction, and iconography / D.A. Forsyth ... [et al.] -- Structural representation of object shape in the brain / Siavash Vaziri ... [et al.] -- Learning hierarchical compositional representations of object structure / Sanja Fidler, Marko Boben, and Aleš Leonardis -- Object categorization in man, monkey, and machine : some answers and some open questions / Maximilian Riesenhuber -- Learning compositional models for object categories from small sample sets / Jake Porway, Benjamin Yao, and Song Chun Zhu -- The neurophysiology and computational mechanisms of object representation / Edmund T. Rolls -- From classification to full object interpretation / Shimon Ullman -- Visual object discovery / Pawan Sinha ... [et al.] -- Towards integration of different paradigms in modeling, representation, and learning of visual categories / Mario Fritz and Bernt Schiele -- Acquisition and disruption of category-specificity in the ventral visual stream : the case of late developing and vulnerable face-related cortex / K. Suzanne Scherf, Marlene Behrmann, and Kate Humphreys -- Using simple features and relations / Marius Leordeanu, Martial Hebert, and Rahul Sukthankar -- The proactive brain: using memory-based predictions in visual recognition / Kestutis Kveraga, Jasmine Boshyan, and Moshe Bar -- Spatial pyramid matching / Svetlana Lazebnik, Cordelia Schmid, and Jean Ponce -- Visual learning for optimal decisions in the human brain / Zoe Kourtzi -- Shapes and shock graphs : from segmented shapes to shapes embedded in images / Benjamin B. Kimia -- Neural encoding of scene statistics for surface and object inference / Tai Sing Lee ... [et al.] -- Medial models for vision / Kaleem Siddiqi and Stephen Pizer -- Multimodal categorization / Christian Wallraven and Heinrich H. Bülthoff -- Comparing 2-D imagese of 3-D objects / David W. Jacobs.
Computer vision.
Pattern recognition systems.