GPU-based optimization of a free-viewpoint video system
Proceedings of the 2008 symposium on Interactive 3D graphics and games
Real-Time GPU-Based Voxel Carving with Systematic Occlusion Handling
Proceedings of the 31st DAGM Symposium on Pattern Recognition
A quality controllable multi-view object reconstruction method for 3D imaging systems
Journal of Visual Communication and Image Representation
Fall detection using body volume recontruction and vertical repartition analysis
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Accelerated real-time reconstruction of 3D deformable objects from multi-view video channels
ICDHM'11 Proceedings of the Third international conference on Digital human modeling
| Hi-index | 0.00 |
We propose an advanced visual hull technique to compensate for outliers using the reliabilities of the silhouettes. The proposed method consists of a foreground extraction technique based on the Generalized Gaussian Family model and a compensated shape-from-silhouette algorithm. They are connected by the intra-/inter-silhouette reliabilities to compensate for carving errors from defective segmentation or partial occlusion which may occur in a real environment. The 3D reconstruction process is implemented on a graphics processing unit (GPU) to accelerate the processing speed by using the huge computational power of modern graphics hardware. Experimental results show that the proposed method provides reliable silhouette information and an accurate visual hull in real environments at a very high speed on a common PC.