Computer vision publications
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Stereo Matching By Hierarchical, Microcanonical Annealing
An improved stochastic stereo-matching algorithm incorporates two substantial modifications to an earlier version: a new variation of simulated annealing.
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Hierarchical Warp Stereo
This paper describes a new technique for use in the automatic production of digital terrain models from stereo pairs of aerial images.
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Shading Into Texture
The fractal surface model provides a formalism that is competent to describe such natural 3-D surfaces and, in addition, is able to predict human perceptual judgments of smoothness versus roughness.
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Stereo Integral Equation
A new approach to the formulation and solution of the problem of recovering scene topography from a stereo image pair is presented.
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A Morphological Recognizer With Syntactic and Phonological Rules
This paper describes a morphological analyzer which, when parsing a word, uses two sets of rules: describing the syntax of words, and rules describing facts about orthography.
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A Stochastic Approach To Stereo Vision
A stochastic optimization approach to stereo matching is presented. The approach provides a dense array of disparities, eliminating the need for interpolation.
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Using Generic Geometric Knowledge To Delineate Cultural Objects In Aerial Imagery
We present a paradigm for discovering the outlines of arbitrarily complex cultural objects in aerial imagery.
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Evidential Knowledge-Based Computer Vision
In this paper, we discuss some of the differences between the DS theory and some popular Bayesian-based approaches to effecting the reasoning task.
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The DARPA / DMA Image Understanding Testbed System Manager’s Manual
The primary purpose of the Image Understanding (IU) Testbed is to provide a means for transferring technology from the DARPA-sponsored IU research program to DMA and other organizations in the…
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One-Eyed Stereo: A Unified Strategy To Recover Shape From A Single Image
In this paper we contend that the distinct assumptions made in each of these schemes must be tantamount to providing a second (virtual) image of the original scene, and that…
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Evaluation Of Stereosys Vs. Other Stereo Systems
SRI International is implementing a complete, state-of the-art stereo system that will produce dense three-dimensional (3D) data from stereo pairs of intensity images. This system forms a framework for much…
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Description Of SRI’s Baseline Stereo System
We are implementing a baseline system for automated area-based stereo compilation.