MIKOLAJCZYK AND SCHMID: A PERFORMANCE EVALUATION OF LOCAL DESCRIPTORS 1

First Page		Document Content
Date: 2005-10-14 13:39:05 Artificial intelligence Scale-invariant feature transform GLOH Harris affine region detector Hessian affine region detector Maximally stable extremal regions 3D single object recognition Affine shape adaptation Scale space Computer vision Image processing Vision		MIKOLAJCZYK AND SCHMID: A PERFORMANCE EVALUATION OF LOCAL DESCRIPTORS 1 Add to Reading List Source URL: lear.inrialpes.fr Download Document from Source Website File Size: 2,00 MB Share Document on Facebook

	Deformation Invariant Image Matching Haibin Ling David W. Jacobs Center for Automation Research, Computer Science Department DocID: 1a6TZ - View Document
	Edge Foci Interest Points C. Lawrence Zitnick Microsoft Research Redmond, WA Krishnan Ramnath DocID: 14F5W - View Document
	Fast Radial Symmetry Detection Under Affine Transformations Jie Ni∗ Maneesh K. Singh and Claus Bahlmann [removed] {maneesh.singh, claus.bahlmann}@siemens.com Center for Automation Research DocID: ZnoT - View Document
	Robust Pose Estimation in Untextured Environments for Augmented Reality Applications Wei Guan∗ Lu Wang† DocID: YnvE - View Document
	3D Model Matching with Viewpoint-Invariant Patches (VIP) Changchang Wu,1 Brian Clipp1 , Xiaowei Li1 , Jan-Michael Frahm1 and Marc Pollefeys1,2 1 Department of Computer Science The University of North Carolina at Chapel H DocID: QIqU - View Document