Recognition of 3-D Object Using Modified 3-D General Hough Transformation
Journal
IEEE International Conference on Industrial Electronics
Pages
64-69
Date Issued
1988-01
Author(s)
Abstract
The objective of this paper is to develop an innovative 3-D objects recognition algorithm which solves correspondence problem and reduces computational cost for recognition. Correspondency between features of unknown object and its model and complicated computation for recognition seem to be a bottleneck of current 3-D object recognition. Three-dimensional generalized Hough transformation is introduced which can be applied to general 3-D objects, and reduces both the computation time and data base memory requirements. Data base is constructed in off-line fashion based on the view-point independent characteristics from the known 3-D objects using generalized 3-D Hough transformation. In the recognition process, view-. point independent characteristics from unknown objects are obtained and used as a key for searching the data base for the best candidate. To test the algorithm, various types of objects are investigated by use of 3-D range data. © 1988 IEEE.
Subjects
Accumulator array; Binary search tree; Data base; Gaussian curvature; Hough transformation; Mean curvature; Normal; Recognition; Reference point; Three dimension
Other Subjects
Agricultural robots; Binary trees; Computer vision; Industrial electronics; Object recognition; Robotics; Trees (mathematics); Accumulator array; Binary search trees; Gaussian curvatures; Hough Transformation; Mean curvature; Normal; Recognition; Reference points; Three dimensions; Metadata
Type
conference paper