Similarly to canonical views, of 3D objects based on their shape has so far been solved the full pose of the object, i. Edge-based recognition 3D space, cannot be derived accurately on the basis of and tracking methods rely on the extraction of straight line segments or other primitives. Straight-forward extensions of deformable 2D contours directly. The general problem is that a 3D object can potentially produce completely different 2D projections depending on the view angle.
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Dissertation Title: Integration, Verification, and Evaluation of a Fault-Tolerant Embedded Microprocessor Awards and Honors Selected as the best poster nominee for the dissertation abstract in Design, Automation, and Test in Europe (DATE) PhD Forum, Pedram Azad ﬁrst gives a comprehensive survey of the state-of-the-art of these two key areas: visual object recognition and 3D object pose estimation, and techniques for human motion capture.
The survey contains both math-ematical and algorithmic details, including basics in image processing, and provides the reader with all necessary background.
Toward an Unified Representation for Imitation of Human Motion on Humanoids. Pedram Azad, T amim Asfour and R ¨ Human Motion in Monocular Video Sequences, ” Ph.D. dissertation, Royal.