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Physics-Based Probabilistic Motion Compensation of Elastically Deformable Objects

A predictive tracking approach and a novel method for visual motion compensation are introduced, which accurately reconstruct and compensate the deformation of the elastic object, even in the case of complete measurement information loss. The core of the methods involves a probabilistic physical mod...

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Bibliographic Details
Main Author: Ballmann, Evgeniya (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2012
Series:Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
Subjects:
stochastic estimation
physics-based modeling
robotics
distributed parameter systems
beating heart surgery
video processing
probabilistic models
Online Access:DOAB: download the publication
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Summary:A predictive tracking approach and a novel method for visual motion compensation are introduced, which accurately reconstruct and compensate the deformation of the elastic object, even in the case of complete measurement information loss. The core of the methods involves a probabilistic physical model of the object, from which all other mathematical models are systematically derived. Due to flexible adaptation of the models, the balance between their complexity and their accuracy is achieved.
Physical Description:1 electronic resource (XIX, 212 p. p.)
ISBN:KSP/1000028591
9783866448629
Access:Open Access

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