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Robust and Efficient 3D Recognition by Alignment
(1992-09-01)
Alignment is a prevalent approach for recognizing 3D objects in 2D images. A major problem with current implementations is how to robustly handle errors that propagate from uncertainties in the locations of image ...
Robust Photo-topography by Fusing Shape-from-Shading and Stereo
(1993-02-01)
Methods for fusing two computer vision methods are discussed and several example algorithms are presented to illustrate the variational method of fusing algorithms. The example algorithms seek to determine planet ...
Three-Dimensional Recognition of Solid Objects from a Two-Dimensional Image
(1988-10-01)
This thesis addresses the problem of recognizing solid objects in the three-dimensional world, using two-dimensional shape information extracted from a single image. Objects can be partly occluded and can occur in ...
Example Based Image Analysis and Synthesis
(1993-11-01)
Image analysis and graphics synthesis can be achieved with learning techniques using directly image examples without physically-based, 3D models. In our technique: -- the mapping from novel images to a vector of "pose" ...
Learning a Color Algorithm from Examples
(1987-06-01)
We show that a color algorithm capable of separating illumination from reflectance in a Mondrian world can be learned from a set of examples. The learned algorithm is equivalent to filtering the image data---in which ...
Describing Surfaces
(1985-01-01)
This paper continues our work on visual representation s of three-dimensional surfaces [Brady and Yuille 1984b]. The theoretical component of our work is a study of classes of surface curves as a source of constraint ...
Component based recognition of objects in an office environment
(2003-11-28)
We present a component-based approach for recognizing objects under large pose changes. From a set of training images of a given object we extract a large number of components which are clustered based on the similarity ...
Multigrid Relaxation Methods and the Analysis of Lightness, Shading and Flow
(1984-10-01)
Image analysis problems, posed mathematically as variational principles or as partial differential equations, are amenable to numerical solution by relaxation algorithms that are local, iterative, and often parallel. ...
Multi-Level Reconstruction of Visual Surfaces: Variational Principles and Finite Element Representations
(1982-04-01)
Computational modules early in the human vision system typically generate sparse information about the shapes of visible surfaces in the scene. Moreover, visual processes such as stereopsis can provide such information at ...
Machine Recognition as Representation and Search
(1989-12-01)
Generality, representation, and control have been the central issues in machine recognition. Model-based recognition is the search for consistent matches of the model and image features. We present a comparative ...