S Se, D Lowe, J Little. The international Journal of robotics Research 21 (8), 735-758, 2002. 1235: 2002: Local feature view clustering for 3D object recognition. DG Lowe. Computer …

2002年8月6日 · Abstract: An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, …

David Lowe is Professor Emeritus with the Computer Science Department of the University of British Columbia. From 2015-2018, David Lowe was a Senior Research Scientist with Google …

Image matching is a fundamental aspect of many problems in computer vision, including object or scene recognition, solving for 3D structure from multiple images, stereo correspon-dence, and …

David G. Lowe is a Canadian computer scientist working for Google as a senior research scientist. He was a former professor in the computer science department at the University of …

Final verification of each match is achieved by finding a low-residual least-squares solution for the unknown model parameters. Experimental results show that robust object recognition can be …

Image keys are created that allow for local ge-ometric deformations by representing blurred image gradi-ents in multiple orientation planes and at multiple scales. The keys are used as input to a …

ABSTRACT: Scale Invariant Feature Transform (SIFT) algorithm is a widely used computer vision algorithm that detects and extracts local feature descriptors from images. SIFT is …

David lowe is a professor in the Computer Science Department of the University of British Columbia. He is a Fellow of the Canadian Institute for Advanced Research and a member of …

SIFT算法由加拿大英属哥伦比亚大学教授David Lowe 于 1999 年发表于会议 ICCV ，原论文Object recognition from local scale-invariant features ， David Lowe 是唯一作者. 而广为人知的被引用 …