1 March 1990 Segmentation, Modeling And Classification Of The Compact Objects In A Pile
Author Affiliations +
Proceedings Volume 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques; (1990); doi: 10.1117/12.969726
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Abstract
We discuss the problem of interpreting dense range images obtained from the scene of a heap of man-made objects. We describe a range image interpretation system consisting of segmentation, modeling, verification, and classification procedures. First, the range image is segmented into regions and reasoning is done about the physical support of these regions. Second, for each region several possible 3-D interpretations are made based on various scenarios of the objects physical support. Finally each interpretation is tested against the data for its consistency. We have chosen the superquadric model as our 3-D shape descriptor, plus tapering deformations along the major axis. Experimental results obtained from some complex range images of mail pieces are reported to demonstrate the soundness and the robustness of our approach.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alok Gupta, Gareth Funka-Lea, Kwangyoen Wohn, "Segmentation, Modeling And Classification Of The Compact Objects In A Pile", Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); doi: 10.1117/12.969726; https://doi.org/10.1117/12.969726
PROCEEDINGS
12 PAGES


SHARE
KEYWORDS
Image segmentation

Data modeling

3D modeling

Visual process modeling

Computer vision technology

Machine vision

Systems modeling

RELATED CONTENT

Real-time model-based vision for industrial domains
Proceedings of SPIE (August 20 1993)
Cylindrical Part Recognition In Occluding Contours
Proceedings of SPIE (March 01 1990)
Three-Dimensional Object Recognition Using Range Data
Proceedings of SPIE (March 27 1989)
Model group indexing for recognition
Proceedings of SPIE (February 01 1991)
Robust regression in computer vision
Proceedings of SPIE (February 01 1991)

Back to Top