Navigating, Recognizing and Describing Urban Spaces With Vision and Lasers
International Journal of Robotics Research
An effective multi-level algorithm based on ant colony optimization for bisecting graph
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
CPAIOR'08 Proceedings of the 5th international conference on Integration of AI and OR techniques in constraint programming for combinatorial optimization problems
Reconstruction of building models with curvilinear boundaries from laser scanner and aerial imagery
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
A new gravitational image edge detection method using edge explorer agents
Natural Computing: an international journal
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Laser range imaging is the current priority research areas of airborne lidar And realizing accurate edge detection of laser range image is the key of completing the subsequent three-dimensional reconstruction Based on the characteristics of laser range image and the deficiencies of traditional edge detection methods, a new improved fast adaptive ant colony algorithm for edge detection of laser range image has been proposed in this paper Due to the initial cluster center and the heuristic guiding function used in the algorithm, the randomness and blindness of ants walking are eliminated thoroughly, and the speed of image edge detection is also greatly increased Meanwhile, thanks to the applied ants' selection mechanism and updating mechanism varying in contents, the error detection rate and omission factor of edge points as well as noise interference are all avoided, and the accuracy and adaptability of laser range image edge detection are greatly improved as well Experimental results have shown that, this algorithm is more effective than other edge detection methods, and can meet the requirements of three-dimensional reconstruction.