Time consistent estimation of End-effectors from RGB-D data
Document typeConference lecture
Rights accessRestricted access - publisher's policy
End-effectors are usually related to the location of the free end of a kinematic chain. Each of them contains rich structure information about the entity. Hence, estimating stable end-effectors of different entities enables robust tracking as well as a generic representation. In this paper, we present a system for end-effector estimation from RGB-D stream data. Instead of relying on a specific pose or configuration for initialization, we exploit time coherence without making any assumption with respect to the prior knowledge. This makes the estimation process more robust in a predict-update framework. Qualitative and quantitative experiments are performed against the reference method with promising results.
CitationLin, X., Casas, J., Pardas, M. Time consistent estimation of End-effectors from RGB-D data. A: Pacific Rim Symposim on Image and Video Technology. "Image and Video Technology - PSIVT 2015 Workshops: RV 2015, GPID 2013, VG 2015, EO4AS 2015, MCBMIIA 2015, and VSWS 2015: Auckland, New Zealand: November 23-27, 2015: revised selected papers". Auckland: Springer, 2015, p. 1-14.
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