A Window-Based Adaptive Correspondence Search Algorithm Using Mean Shift and Disparity Estimation

来源 :第十一届中国虚拟现实大会(ICVRV2011) | 被引量 : 0次 | 上传用户:qian7122011
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
Aiming at the problem of low efficiency and unsatisfactory matching of uniform texture regions in binocular stereo vision, we propose a rapid window-based adaptive correspondence search algorithm using mean shift and disparity estimation. Color aggregation is firstly carried out to the reference image and the target image through mean shift method in order to obtain images with low dynamic color range. Then we make disparity estimation to the pre-processed two images and compute disparities of uniform texture regions. Finally, adaptive window matching is completed and exact depth map is achieved through similarity computation and window-based support aggregation. Experimental results show that our algorithm is more efficient and keeps smooth disparity better than the prior window method.
其他文献
Advances in distributed system technology have created new possibilities for innovation in simulation and the creation of new tools and facilities that could improve the productivity of simulation. Th
Digital Mine has become the inevitable development trend of the future mines. Blasting is a essential process during the exploration and development of practical mining engineering. The blasting alway
To meet the demand for efficient automatic navigation in virtual complex indoor scenes, this paper presents an automatic navigation algorithm. The algorithm uses Dijkstra algorithm for path planning o
Presented in this paper is an immersive and interactive entertainment environment which integrates multi-projector tiled display wall and motion tracking. Calibration methods are proposed for the geom
The scale of some datasets generated by simulations on tens of thousands of cores are gigabyte or larger per output step. It is imperative that efficient coupling of these simulations and parallel vis
Semantic concept detection is a key technique to video semantic indexing. Traditional approaches did not take account of conceptual correlation adequately. A new approach based on conceptual correlati
In this paper, a parallel ray-casting volume rendering algorithm based on adaptive sampling is presented for visualizing TB-scale time-varying scientific data. The algorithm samples a data field adapt
Automotive interior ergonomics analysis is important step for automotive development validation in the process, which directly affects the product development cycle time and cost. In order to provide
The traditional volumetric visual hull generating methods were not applicable to real-time objects due to frame by frame calculations. A fast new algorithm based on interframe coherence was represente
A SERIES MODELS FOR RADAR DETECTION RANGE UNDER COMPLEX ELECTROMAGNETIC ENVIRONMENT WERE ESTABLISHED, INCLUDING ANTENNA GAIN, PROPAGATION IN MULTI-PATH, ATTENUATION, CLUTTERS OF RAINFALL AND SEA SURFA