SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Multiresolution analysis of arbitrary meshes
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
The remarkable incircle of a triangle
Mathematics and Computer Education
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Image Retrieval Using Fourier Descriptors on a Logo Database
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Normal-Based Simplification Algorithm for Meshes
TPCG '04 Proceedings of the Theory and Practice of Computer Graphics 2004 (TPCG'04)
Towards Multi-View Object Class Detection
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
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This paper presents a multi-resolution recognition method for 3D objects, based on the human visual model. In the first part of this paper, we propose a new visual resolution limit (VRL) calculation method that considers lens size, the scale of imaging cells and the distance, orientation and velocity of the object. In addition, we simplify 3D models with a novel mesh simplification method based on edge collapse, which controls the simplification degree with VRL. After applying viewpoint space partitioning to the simplified models at different resolutions, we develop a multi-resolution aspect graph library indexed by observation distance. Finally, we propose a 3D object recognition method based on multi-resolution aspect graphs and implement a real-time gradual multi-resolution recognition system that imitates human vision. We design and execute a set of experiments based on plane, car and ship models. Our results demonstrate that our recognition method is effective.