Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
Determining motion parameters using intensity guided range sensing
Pattern Recognition
Computer Vision, Graphics, and Image Processing
A fast parallel algorithm for thinning digital patterns
Communications of the ACM
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Object Recognition Using Three-Dimensional Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determining 3-D location parameters of a cylindrical object
Mathematical and Computer Modelling: An International Journal
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In this paper, a simple and fast approach is proposed to recognize the unknown cylindrical patterns using backprojection techniques. The method uses a known-height label pasted on the cylindrical object, on which an object pattern (so-called cylindrical patterns) is associated for the robot to identify the desired object. First, a simple camera calibration method is used to compute the camera parameters by a single camera view of the object. A surface backprojection technique is then adopted to reconstruct the pattern on the cylindrical surface of the object. Finally, the reconstructed pattern is matched with those of each object model using the difference of their NRD spectrum. Experimental results to prove the feasibility of the proposed method are also included.