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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序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 基于车载激光扫描点云的交通标志检测研究 学位论文 2016, 2016 瓮升霞 收藏  |  浏览/下载：5/0  |  提交时间：2017/06/20 移动激光扫描  交通标志牌检测  形状分类  Mobile Laser Scanning  Traffic Sign Detection  Shape-Based Classification   Quantifying the characteristics of particulate matters captured by urban plants using an automatic approach 期刊论文 JOURNAL OF ENVIRONMENTAL SCIENCES, 2016, 卷号: 39, 页码: 259-267 作者:  Yan, Jingli;  Lin, Lin;  Zhou, Weiqi;  Han, Lijian;  Ma, Keming 收藏  |  浏览/下载：19/0  |  提交时间：2017/03/24 Particulate matter retention  Urban vegetation  Object-based classification  Size and shape characteristics  Source identification   3D Attention-Driven Depth Acquisition for Object Identification 会议论文 ACM SIGGRAPH Asia Conference, 2016 作者:  Xu, Kai;  Shi, Yifei;  Zheng, Lintao;  Zhang, Junyu;  Liu, Min 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/31 3D acquisition  depth camera  next-best-view  object identification  attention-based model  shape classification   A segment detection method based on improved Hough transform (EI CONFERENCE) 会议论文 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Han Q.-L.; Zhu M.; Yao Z.-J. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 Hough transform is recognized as a powerful tool in shape analysis which gives good results even in the presence of noise and the disconnection of edge. However  3. applying the standard Hough transform equation to every point of the input image edge  4. according to the local threshold  6. merging the segments whose extreme points are near. Experiment results show the approach not only can recognize regular geometric object but also can extract the segment feature of real targets in complex environment. So the proposed method can be used in the target detection of complicated scenes  traditional Hough transform can only detect the lines  2. quantizing the parameter space  and extracting a group of maximums according to the global threshold  eliminating spurious peaks which are caused by the spreading effects  and will improve the precision of tracking.  cannot give the endpoints and length of the line segments and it is vulnerable to the quantization errors. Based on the analysis of its limitations  Hough transform has been improved in order to detect line segment feature of targets. The algorithm aims to avoid the loss of spatial information  as well as to eliminate the spurious peaks and fix on the line segments endpoints accurately  5. fixing on the endpoints of the segments according to the dynamic clustering rule  which can expediently be used for the description and classification of regular objects. The method consists of 6 steps: 1. setting up the image  parameter and line-segment spaces   A SVM-based classifier with shape and motion features for a pedestrian detection system 会议论文 IEEE Intelligent Vehicles Symposium, Meguroku, JAPAN, JUN 13-15, 2006 作者:  Chen, D.;  Cao, X. B.;  Xu, Y. X.;  Qiao, H.;  Wang, F. Y. 收藏  |  浏览/下载：13/0  |  提交时间：2017/01/13 image classification / image motion analysis / object detection / support vector machines / traffic engineering computing / SVM-based classifier / decomposed SVM algorithm / motion features / pedestrian detection system / shape features