Determination of the identity, position and orientation of the topmost object in a pile
Computer Vision, Graphics, and Image Processing
Unified theories of cognition
An Experimental Comparison of Range Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive Image Segmentation With Distributed Behavior-Based Agents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge detection in range images based on scan line approximation
Computer Vision and Image Understanding
Markov random field modeling in image analysis
Markov random field modeling in image analysis
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
The Complex EGI: A New Representation for 3-D Pose Determination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gradient-based polyhedral segmentation for range images
Pattern Recognition Letters
Some Further Results of Experimental Comparison of Range Image Segmentation Algorithms
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Construction of numerical potential fields with reactive agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Range image segmentation based on randomized Hough transform
Pattern Recognition Letters
Distributed agent paradigm for soft and hard computation
Journal of Network and Computer Applications - Special issue: Innovations in agent collaboration
Bio-mimetic trajectory generation of robots via artificial potential field with time base generator
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Automated segmentation of human brain MR images using a multi-agent approach
Artificial Intelligence in Medicine
Roof-edge preserving image smoothing based on MRFs
IEEE Transactions on Image Processing
Range image segmentation using surface selection criterion
IEEE Transactions on Image Processing
Hi-index | 0.00 |
In this paper an agent-based segmentation approach is presented and evaluated. The approach consists in using a high number of autonomous agents for the segmentation of a range image in its different planar regions. The moving agents perform cooperative and competitive actions on the image pixels allowing a robust extraction of regions and an accurate edge detection. An artificial potential field, created around pixels of interest, allows the agents to be gathered around edges and noise regions. The results obtained with real images are compared to those of some typical methods for range image segmentation. The comparison results show the potential of the proposed approach for scene understanding in range images regarding both segmentation efficiency, and detection accuracy.