Volume/surface octrees for the representation of three-dimensional objects
Computer Vision, Graphics, and Image Processing
Using Polygons to Recognize and Locate Partially Occluded Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Construction of the Octree Approximating a Three-Dimensional Object by Using Multiple Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model Construction and Shape Recognition from Occluding Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Partial Shape Recognition: A Landmark-Based Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Polygonal shape recognition using string-matching techniques
Pattern Recognition
Interactively mitigating visual confusion by using a visual mixing board
ACM SIGGRAPH 2007 posters
Knowledge-based approach for 3D skeleton extraction
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
| Hi-index | 0.00 |
The octree model, a hierarchical volume description of 3D objects, may be utilized to generate projected images from arbitrary viewing directions, thereby providing an efficient means of the data base for 3D object recognition. The feature points of an occluded object are matched to those of the model object shapes generated automatically from the octree model in viewing directions equally spaced in the 3D coordinates. The best matched viewing direction is calibrated by searching for the 4 pairs of corresponding feature points between the input and the model image projected along the estimated viewing direction. Then the input shape is recognized by matching to the projected shape. Experiment results show good performance of proposed algorithm.