![]() Aouada, Djamila ![]() in IEEE Transactions on Image Processing (2010), 19 Detailed reference viewed: 133 (7 UL)![]() Aouada, Djamila ![]() in 20th International Conference on Pattern Recognition (2010) Detailed reference viewed: 120 (2 UL)![]() Aouada, Djamila ![]() in IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009 (2009) Detailed reference viewed: 117 (2 UL)![]() Aouada, Djamila ![]() in 2009 16th IEEE International Conference on Image Processing (2009) Detailed reference viewed: 100 (0 UL)![]() Aouada, Djamila ![]() in International Conference on Computational Imaging, 2008 (2008, February) Detailed reference viewed: 109 (3 UL)![]() Aouada, Djamila ![]() in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. (2008) Detailed reference viewed: 99 (2 UL)![]() ; Aouada, Djamila ![]() in IEEE International Conference on Acoustics, Speech and Signal Processing, 2007. ICASSP 2007 (2007, April) Detailed reference viewed: 185 (6 UL)![]() Aouada, Djamila ![]() in IEEE International Conference on Acoustics, Speech and Signal Processing, 2007. ICASSP 2007 (2007) This paper presents a novel classification strategy for 3D objects. Our technique is based on using a global geodesic function to intrinsically describe the surface of an object. The choice of the global ... [more ▼] This paper presents a novel classification strategy for 3D objects. Our technique is based on using a global geodesic function to intrinsically describe the surface of an object. The choice of the global geodesic function ensures the invariance of the classification procedure to scaling and all isometric transformations. Using the Jensen-Shannon divergence, feature parameters are extracted from the probability distribution functions of the global geodesic function for each one of the classes. These parameters are used in the decision of a class membership of an object. This approach demonstrates low computational cost, efficiency, and robustness to resolution over many different data sets. [less ▲] Detailed reference viewed: 107 (13 UL) |
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