机构

• 长春光学精密机械与物... [2]
• 自动化研究所 [2]

采集方式

• OAI收割 [4]

内容类型

• 会议论文 [2]
• 学位论文 [1]
• 期刊论文 [1]

发表日期

• 2011 [1]
• 2010 [1]
• 2009 [2]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Ridge extraction of a smooth 2-manifold surface based on vector field 期刊论文  OAI收割 COMPUTER AIDED GEOMETRIC DESIGN, 2011, 卷号: 28, 期号: 4, 页码: 215-232 作者:  Che, WuJun;  Zhang, XiaoPeng;  Zhang, Yi-Kuan;  Paul, Jean-Claud;  Xu, Bo 收藏  |  浏览/下载：32/0  |  提交时间：2015/08/12 Implicit surface  Invariant feature  Line of curvature  Parametric surface  Principal curvature  Principal direction  Ridge  Umbilical point  Vector field   Study particle filter tracking and detection algorithms based on DSP signal processors (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Dong Y.; Chuan W. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 In Video tracking  detection and tracking usually need two algorithms. The process is complex and need much time which detection and tracking are. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance flag and of location. Particle filter-based method implements detection and tracking at one time. In order to reduce process time and think of pixel position in tracking field  feature histogram of luminance is as observe vector and used posterior estimate. In this paper  the luminance component is derived and target is recognized and tracked through image processor based on DSP in order to implementing real-time. The experimental results confirm that method can detect and track the object in real-time successfully when the number of particles is 160. The method is robust for rolling  scale and partial occlusion. 2010 IEEE.   图像特征点检测与匹配研究 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2009 作者:  王旭光 收藏  |  浏览/下载：39/0  |  提交时间：2015/09/02 特征检测  特征匹配  特征向量场  相关性度量  feature detection  feature matching  feature vector field  correlation measure   Study on color image tracking and detection algorithms based on particle filter (EI CONFERENCE) 会议论文  OAI收割 International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, June 17, 2009 - June 19, 2009, Beijing, China Wu C.; Sun H.-J.; Yang D. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 In Video tracking  detection and tracking need two algorithms. The process is complex and need much time which detection and tracking is. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance and of location. Particle filter-based method implements detection and tracking. In order to reduce process time and think of pixel position in tracking field  feature histogram of color-based is as observe vector and used posterior estimate. The experimental results confirm that method can detect and track object in 17.68ms successfully when the number of particles is 160. The method is robust for rolling  scale and partial occlusion. 2009 SPIE.