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Dissociated Dipoles: Image representation via non-local comparisons 

Balas, Benjamin J.; Sinha, Pawan (2003-08-13)
A fundamental question in visual neuroscience is how to represent image structure. The most common representational schemes rely on differential operators that compare adjacent image regions. While well-suited to encoding ...
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Direction Estimation of Pedestrian from Images 

Shimizu, Hiroaki; Poggio, Tomaso (2003-08-27)
The capability of estimating the walking direction of people would be useful in many applications such as those involving autonomous cars and robots.We introduce an approach for estimating the walking direction of people ...
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Location Recognition Using Stereo Vision 

Braunegg, David J. (1989-10-01)
A mobile robot must be able to determine its own position in the world. To support truly autonomous navigation, we present a system that builds and maintains its own models of world locations and uses these models to ...
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Data and Model-Driven Selection Using Color Regions 

Syeda-Mahmood, Tanveer Fathima (1992-02-01)
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper we present an approach that extracts ...
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Correspondence and Affine Shape from Two Orthographic Views: Motion and Recognition 

Shashua, Amnon (1991-12-01)
The paper presents a simple model for recovering affine shape and correspondence from two orthographic views of a 3D object. It is shown that four corresponding points along two orthographic views, taken under similar ...
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Gait Dynamics for Recognition and Classification 

Lee, Lily (2001-09-01)
This paper describes a representation of the dynamics of human walking action for the purpose of person identification and classification by gait appearance. Our gait representation is based on simple features such as ...
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Complex Feature Recognition: A Bayesian Approach for Learning to Recognize Objects 

Viola, Paul (1996-11-01)
We have developed a new Bayesian framework for visual object recognition which is based on the insight that images of objects can be modeled as a conjunction of local features. This framework can be used to both derive ...
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Recognizing 3-D Objects Using 2-D Images 

Jacobs, David W. (1993-04-01)
We discuss a strategy for visual recognition by forming groups of salient image features, and then using these groups to index into a data base to find all of the matching groups of model features. We discuss the most ...
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Contextual Priming for Object Detection 

Torralba, Antonio; Sinha, Pawan (2001-09-01)
There is general consensus that context can be a rich source of information about an object's identity, location and scale. In fact, the structure of many real-world scenes is governed by strong configurational rules akin ...
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3D Object Recognition: Symmetry and Virtual Views 

Vetter, Thomas; Poggio, Tomaso; B'ulthoff, Heinrich (1992-12-01)
Many 3D objects in the world around us are strongly constrained. For instance, not only cultural artifacts but also many natural objects are bilaterally symmetric. Thoretical arguments suggest and psychophysical ...
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AuthorPoggio, Tomaso (3)Sinha, Pawan (3)Balas, Benjamin J. (2)Richards, Whitman (2)Shimizu, Hiroaki (2)B'ulthoff, Heinrich (1)Braunegg, David J. (1)Hoffman, D.D. (1)Hoffman, Donald D. (1)Jacobs, David W. (1)... View MoreSubject
recognition (14)
AI (7)vision (3)classification (2)human motion (2)image representation (2)non-local filtering (2)pedestrian (2)SVM (2)visual representation (2)... View MoreDate Issued2000 - 2003 (6)1990 - 1999 (5)1984 - 1989 (3)Has File(s)Yes (14)

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