%0 Conference Proceedings
%F Lima12b
%A Lima, J.P.
%A Teichrieb, V.
%A Uchiyama, H.and Marchand, E.
%T Object Detection and Pose Estimation from Natural Features Using Consumer RGB-D Sensors: Applications in Augmented Reality
%B IEEE Int. Symp. on Mixed and Augmented Reality (doctoral symposium), ISMAR'12
%C Atlanta, USA
%X The work proposed in this document aims to investigate the use of consumer RGB-D sensors for object detection and pose estimation from natural features, with the purpose of using such techniques for developing augmented reality applications. Two methods based on depth-assisted rectification are proposed, which transform features extracted from the color image to a canonical view using depth data in order to obtain a representation invariant to rotation, scale and perspective distortions. While one method is suitable for textured objects, either planar or non-planar, the other method focuses on texture-less planar objects. Qualitative and quantitative evaluations of the proposed methods are performed, comparing it to existing methods for object detection and pose estimation
%U http://rainbow-doc.irisa.fr/pdf/2012_ismar_lima_doctoral_symp.pdf
%8 November
%D 2012