Knowledge Commons of Institute of Automation,CAS
Generalized optical flow in the scale space | |
Gong, Haifeng; Pan, Chunhong![]() ![]() ![]() ![]() | |
发表期刊 | COMPUTER VISION AND IMAGE UNDERSTANDING
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2007 | |
卷号 | 105期号:1页码:86-92 |
文章类型 | Article |
摘要 | Scale space is a natural way to handle multi-scale problems. Yang and Ma have considered the correspondence between scales, and proposed optical flow in the scale space. In this paper, we generalized Yang and Ma's work to generic images. We first generalize the Horn-Schunck algorithm to multi-dimensional multi-channel image sequence. Since the global smoothness constraint for regularization is no longer suitable in general cases, we introduce localized smoothness regularization. In scale space optical flow, points in original image trends to aggregate at a large scale, so we introduce aggregation density as an additional smoothness coefficient. At last, we apply the proposed methods to color images and 3D images. (c) 2006 Elsevier Inc. All rights reserved. |
关键词 | Scale Space Optical Flow Segmentation Filtering |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | ANISOTROPIC DIFFUSION ; EDGE-DETECTION |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000243460900007 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/9386 |
专题 | 09年以前成果 |
作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China |
推荐引用方式 GB/T 7714 | Gong, Haifeng,Pan, Chunhong,Yang, Qing,et al. Generalized optical flow in the scale space[J]. COMPUTER VISION AND IMAGE UNDERSTANDING,2007,105(1):86-92. |
APA | Gong, Haifeng,Pan, Chunhong,Yang, Qing,Lu, Hanqing,&Ma, Songde.(2007).Generalized optical flow in the scale space.COMPUTER VISION AND IMAGE UNDERSTANDING,105(1),86-92. |
MLA | Gong, Haifeng,et al."Generalized optical flow in the scale space".COMPUTER VISION AND IMAGE UNDERSTANDING 105.1(2007):86-92. |
条目包含的文件 | 条目无相关文件。 |
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