Computer vision publications
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Integrated Split/Merge Image Segmentation
The KNIFE segmentation algorithm splits regions along object boundaries, thus avoiding rectangular quadtree artifacts and establishing a context for good statistical decisions.
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Classification-Based Tracking Of Objects and Material
SRI’s KNIFE image analysis system can be used for tracking objects and material classes from one image to another.
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Coarse Coding For Material and Object Identification
A new coarse-coding technique is presented for labeling image pixels and regions to match exemplars or multivariate material signatures.
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Learning and Recognition In Natural Environments
We present a system for learning descriptions of objects, and for subsequently recognizing learned objects, that functions in outdoor, natural environments.
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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.