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Aspect Graphs and Their Use in Object Recognition,
David Eggert, Louise Stark, and Kevin W. Bowyer,
Annals of Mathematics and Artificial Intelligence 13, 347-375, 1995.
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The Scale Space Aspect Graph,
David W. Eggert, Kevin W. Bowyer, Charles R. Dyer, Henrik I. Christensen, and Dmitry B. Goldgof.
IEEE Transactions on Pattern Analysis and Machine Intelligence
15 (11), 1114-1130, November 1993.
pdf of this paper.
This paper introduces the concept of the scale space aspect
graph, defines three different interpretations of the scale dimension, and presents a
detailed example for a simple class of objects, with scale defined in terms of the spatial
extent of features in the image.
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Computing the Generalized Aspect Graph for Objects with Moving Parts,
Kevin W. Bowyer, Maha Y. Sallam, David Eggert, and John H. Stewman,
IEEE Transactions on Pattern Analysis and Machine Intelligence
15 (6), 605-610, June 1993.
A number of researchers have described algorithms for
computing the aspect graph representation, but this work has thus far
been limited to entirely rigid objects. We generalize this concept to
include a larger, more realistic domain of objects known as articulated
assemblies, those objects composed of rigid parts with articulated
connections allowed between parts.
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Computing the Perspective Projection Aspect Graph of Solids of Revolution,
David W. Eggert and Kevin W. Bowyer,
IEEE Transactions on Pattern Analysis and Machine Intelligence
15 (2), 109-128, February 1993.
This paper presents the first (only) implemented
algorithm to compute the aspect graph for a class of curved-surface
objects based on an exact parcellation of 3-D viewpoint space. The
class of objects considered is solids of revolution. ... the worst-case
complexity of ... the number of cells in the aspect graph is is O(N^4),
where N is the degree of a polynomial that defines the object shape.
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Achieving Generalized Object Recognition Through Reasoning
About Association of Function To Structure,
Louise Stark and Kevin W. Bowyer,
IEEE Transactions on Pattern Analysis and Machine Intelligence
13 (10), 1097-1104, October 1991.
pdf of this paper.
The purpose of the work described here is to demonstrate the
feasibility of defining an object category in terms of the functional properties
shared by all objects in the category. ... A complete system has been implemented
that takes the boundary surface description of a 3-D object as its input and
attempts to recognize whether the object belongs to the category chair ... This is,
to our knowledge the first (only) implemented system to explore the use of a purely
function-based definition of an object category ... to recognize 3-D objects.
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Aspect Graphs: An Introduction and Survey of Recent Results,
Kevin W. Bowyer and Charles R. Dyer,
International Journal of Imaging Systems and Technologies 2, 315-328, 1990.
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Direct Construction of Perspective Projection Aspect Graphs for Planar-Face
Convex Objects,
John Stewman and Kevin W. Bowyer,
Computer Vision, Graphics and Image Processing 51 (1), 20-37, July 1990.
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