NDLI: Robust 3D Tracking with Descriptor Fields

Content Provider	IEEE Xplore Digital Library
Author	Crivellaro, A. Lepetit, V.
Copyright Year	2014
Abstract	We introduce a method that can register challenging images from specular and poorly textured 3D environments, on which previous approaches fail. We assume that a small set of reference images of the environment and a partial 3D model are available. Like previous approaches, we register the input images by aligning them with one of the reference images using the 3D information. However, these approaches typically rely on the pixel intensities for the alignment, which is prone to fail in presence of specularities or in absence of texture. Our main contribution is an efficient novel local descriptor that we use to describe each image location. We show that we can rely on this descriptor in place of the intensities to significantly improve the alignment robustness at a minor increase of the computational cost, and we analyze the reasons behind the success of our descriptor.
Starting Page	3414
Ending Page	3421
File Size	3604947
Page Count	8
File Format	PDF
ISBN	9781479951185
ISSN	10636919
DOI	10.1109/CVPR.2014.436
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Robustness Cameras Solid modeling Optimization Registers Lighting Specular Environment 3D Tracking Dense Descriptor Image Registration
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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