Computer vision publications
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The DARPA / DMA Image Understanding Testbed Programmer’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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The Relationship Between Image Irradiance and Surface Orientation
A formulation of shape from shading is presented in which surface orientation is related to image irradiance without requiring detailed knowledge of either the scene illumination or the albedo of…
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Shape From Shading: An Assessment
In dealing with the question of what surface parameters can be recovered locally from image shading, we show that, at most, shading determines relative surface curvature, i.e., the ratio of…
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A General Approach To Machine Perception Of Linear, Structure In Imaged Data
In this paper we address a basic problem in machine perception: the tracing of “line-like” structures appearing in an image. It is shown that this problem can profitably be viewed…
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From Image Irradiance To Surface Orientation
A new formulation of shape from shading is presented in which surface orientation is related to image irradiance without requiring detailed knowledge of the scene illumination, or of the albedo…
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The Phoenix Image Segmentation System: Description and Evaluation
This report summarizes applications for PHOENIX, the history and nature of the algorithm, details of the Testbed implementation, the manner in which it is invoked and controlled, the type of…
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Interpreting Perspective Images
Two constructive methods are presented: the first finds the orientation of parallel lines and planes and the second determines the orientation of plans by `backprojection’ of two intrinsic properties of…
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Local Shading Analysis
Local analysis of image shading, in the absence of prior knowledge about the viewed scene, may be used to provide information about the scene.
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Computational Stereo
We broadly define computational stereo as the recovery of the three-dimensional characteristics of a scene from multiple images taken from different points of view.
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Computer-Assisted Analysis of Tomographic Images of the Brain
A computer system for the analysis of computed tomography and positron emission tomography scans of the brain is described.
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Computational Structures For Machine Perception
This note discusses the adequacy of current computer architectures to serve as a base for building machine vision systems.
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Reconstructing Smooth Surfaces From Partial, Noisy Information
We describe a solution for an important special case: the interpolation of surfaces that are locally spherical or cylindrical from initial orientation values and constraints on orientation.