Analysis of 3-D images

M. Arif Wani; Bruce G. Batchelor

doi:10.1117/12.58810

1 March 1992 Analysis of 3-D images

M. Arif Wani, Bruce G. Batchelor

Proceedings Volume 1615, Machine Vision Architectures, Integration, and Applications; (1992) https://doi.org/10.1117/12.58810
Event: Robotics '91, 1991, Boston, MA, United States

Abstract

Deriving generalized representation of 3-D objects for analysis and recognition is a very difficult task. Three types of representations based on type of an object is used in this paper. Objects which have well-defined geometrical shapes are segmented by using a fast edge region based segmentation technique. The segmented image is represented by plan and elevation of each part of the object if the object parts are symmetrical about their central axis. The plan and elevation concept enables representing and analyzing such objects quickly and efficiently. The second type of representation is used for objects having parts which are not symmetrical about their central axis. The segmented surface patches of such objects are represented by the 3-D boundary and the surface features of each segmented surface. Finally, the third type of representation is used for objects which don't have well-defined geometrical shapes (for example a loaf of bread). These objects are represented and analyzed from its features which are derived using a multiscale contour based technique. Anisotropic Gaussian smoothing technique is introduced to segment the contours at various scales of smoothing. A new merging technique is used which enables getting the current best estimate of break points at each scale. This new technique enables elimination of loss of accuracy of localization effects at coarser scales without using scale space tracking approach.

Citation Download Citation

M. Arif Wani and Bruce G. Batchelor "Analysis of 3-D images", Proc. SPIE 1615, Machine Vision Architectures, Integration, and Applications, (1 March 1992); https://doi.org/10.1117/12.58810

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