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Shape verification using belief updating
- In Proceedings of the British Machine Vision Conference
, 1990
"... This paper addresses the problem of2D shape representation and its application to object verification. We show how knowledge of shape can be integrated in a principled manner with low-level evidence such as an estimate of object position and an edge strength map. We begin by considering the role of ..."
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Cited by 7 (1 self)
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This paper addresses the problem of2D shape representation and its application to object verification. We show how knowledge of shape can be integrated in a principled manner with low-level evidence such as an estimate of object position and an edge strength map. We begin by considering the role of shape in image interpretation and discuss the criteria which should be applied in assessing representations of shape. We propose new criteria, particularly as regards the ability to model variability, and describe a Chord Length Distribution (CLD) representation of shape which possesses many desirable properties. We show how the CLD representation can be used in an iterative belief-updating scheme for object location and verification. We give experimental results which demonstrate the feasibility of the method and discuss future developments.
TINA 2001: The Closed Loop 3D Model Matcher
- Inc., “Engineering Accreditation Commission, Accreditation Policy and Procedure Manual
, 2001
"... This paper discusses advances made to the 3D geometrical model matching system within the TINA machine vision environment over the last 10 years including the recent inclusion of a verification stage. We show how this final step closes the loop on the object location system allowing the theoretic ..."
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This paper discusses advances made to the 3D geometrical model matching system within the TINA machine vision environment over the last 10 years including the recent inclusion of a verification stage. We show how this final step closes the loop on the object location system allowing the theoretical location performance to be attained, eliminating key assumptions used in the existing forward pass algorithms. We explain how the use of a system approach has been crucial to the development of key components and summarise our findings.
Indexing Two-Dimensional Objects Using Parametrised Geometric Features
"... A new approach to indexing in model-based vision is introduced; using indexing features whose deformed instances are present in a number of different object models. Hypotheses are generated by matching an indexing feature with an image using a viewing transformation incorporating the deformation; th ..."
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A new approach to indexing in model-based vision is introduced; using indexing features whose deformed instances are present in a number of different object models. Hypotheses are generated by matching an indexing feature with an image using a viewing transformation incorporating the deformation; the parameter values of the deformational component provide specific indices to those models related to the indexing feature. 1
