Recognizing Planar Objects in 3-D Space

Nirwan Ansari; Edward J. Delp

doi:10.1117/12.969941

1 February 1990 Recognizing Planar Objects in 3-D Space

Nirwan Ansari, Edward J. Delp

Proceedings Volume 1197, Automated Inspection and High-Speed Vision Architectures III; (1990) https://doi.org/10.1117/12.969941
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

Object recognition is a major theme in computer vision. In this paper, we present a method of recognizing planar objects in 3-D space from a single image. Objects in a scene may be occluded, and the orientation of the objects is arbitrary. We represent each object by its dominant points, and pose the recognition problem as a dominant-point matching problem. We introduce a measure, known as sphericity, derived from an affine transform to indicate the quality of match among dominant points. A clustering algorithm, probe-and-block, is used to guide the matching. We use a least squares fit among dominant points to estimate object location in the scene. A heuristic measure is finally computed to verify the match.

Citation Download Citation

Nirwan Ansari and Edward J. Delp "Recognizing Planar Objects in 3-D Space", Proc. SPIE 1197, Automated Inspection and High-Speed Vision Architectures III, (1 February 1990); https://doi.org/10.1117/12.969941

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