Position Interpolation using Feature Point Scale for Decimeter Visual Localization David Wong, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase Graduate School of Information Science, Nagoya University Furo-cho, Chikusa-ku, N

First Page		Document Content
Date: 2016-03-22 02:21:57 Feature detection Scale-invariant feature transform Speeded up robust features Feature Image registration Corner detection Simultaneous localization and mapping Triangulation Maximally stable extremal regions Outline of object recognition Bag-of-words model in computer vision		Position Interpolation using Feature Point Scale for Decimeter Visual Localization David Wong, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase Graduate School of Information Science, Nagoya University Furo-cho, Chikusa-ku, N Add to Reading List Source URL: www.murase.m.is.nagoya-u.ac.jp Download Document from Source Website File Size: 1,65 MB Share Document on Facebook

	ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal DocID: 1rsW7 - View Document
	1 A Variable Size Block Matching Based Descriptor for Human Action Recognition F´abio L. M. de Oliveira, Helena A. Maia, Virg´ınia F. Mota Marcelo B. Vieira, and Arnaldo de A. Ara´ujo DocID: 1rpC8 - View Document
	3D Object Recognition in Clutter with the Point Cloud Library Federico Tombari, Ph.D University of Bologna Open Perception DocID: 1riIx - View Document
	1 Straightening 3-D surface scans of curved natural history specimens for taxonomic research James Church∗ 1 , Ray Schmidt† 2 , Henry Bart Jr.‡ 2 , Xin Dang§ 3 and Yixin Chen¶ 1 1 Department DocID: 1rds3 - View Document
	DOC Document DocID: 1r6IQ - View Document