NDLI: High resolution tracking of non-rigid 3D motion of densely sampled data using harmonic maps

Content Provider	IEEE Xplore Digital Library
Author	Yang Wang Gupta, M. Song Zhang Sen Wang Xianfeng Gu Samaras, D. Peisen Huang
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Stony Brook Univ., NY, USA (Yang Wang; Gupta, M.)
Abstract	We present a novel fully automatic method for high resolution, nonrigid dense 3D point tracking. High quality dense point clouds of nonrigid geometry moving at video speeds are acquired using a phase-shifting structured light ranging technique. To use such data for the temporal study of subtle motions such as those seen in facial expressions, an efficient nonrigid 3D motion tracking algorithm is needed to establish inter-frame correspondences. The novelty of this paper is the development of an algorithmic framework for 3D tracking that unifies tracking of intensity and geometric features, using harmonic maps with added feature correspondence constraints. While the previous uses of harmonic maps provided only global alignment, the proposed introduction of interior feature constraints guarantees that nonrigid deformations are accurately tracked as well. The harmonic map between two topological disks is a diffeomorphism with minimal stretching energy and bounded angle distortion. The map is stable, insensitive to resolution changes and is robust to noise. Due to the strong implicit and explicit smoothness constraints imposed by the algorithm and the high-resolution data, the resulting registration/deformation field is smooth, continuous and gives dense one-to-one inter-frame correspondences. Our method is validated through a series of experiments demonstrating its accuracy and efficiency.
Sponsorship	IEEE Comput. Soc. Tech. Comm. on Pattern Anal. and Machine Intelligence
Starting Page	388
Ending Page	395
File Size	589916
Page Count	8
File Format	PDF
ISBN	076952334X
ISSN	15505499
DOI	10.1109/ICCV.2005.113
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tracking Geometry Computer vision Face detection Shape Computer science Mechanical engineering Clouds Harmonic distortion Energy resolution
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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High resolution tracking of non-rigid motion of densely sampled 3d data using harmonic maps.

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