Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Subject "visual recognition"
Now showing items 1-5 of 5
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The computational magic of the ventral stream: sketch of a theory (and why some deep architectures work).
(2012-12-29)This paper explores the theoretical consequences of a simple assumption: the computational goal of the feedforward path in the ventral stream -- from V1, V2, V4 and to IT -- is to discount image transformations, after ...
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Geometric and Algebraic Aspects of 3D Affine and Projective Structures from Perspective 2D Views
(1993-07-01)We investigate the differences --- conceptually and algorithmically --- between affine and projective frameworks for the tasks of visual recognition and reconstruction from perspective views. It is shown that an affine ...
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Indexing for Visual Recognition from a Large Model Base
(1990-08-01)This paper describes a new approach to the model base indexing stage of visual object recognition. Fast model base indexing of 3D objects is achieved by accessing a database of encoded 2D views of the objects using a ...
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Task and Object Learning in Visual Recognition
(1991-01-01)Human performance in object recognition changes with practice, even in the absence of feedback to the subject. The nature of the change can reveal important properties of the process of recognition. We report an ...
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Visual Attention in Brains and Computers
(1986-09-01)Existing computer programs designed to perform visual recognition of objects suffer from a basic weakness: the inability to spotlight regions in the image that potentially correspond to objects of interest. The brain's ...