A robust model-based coding technique for ultrasound video
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A robust model-based coding technique for ultrasound video

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Published by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va .
Written in English

Subjects:

  • Telemedicine.,
  • Coding.,
  • Data compression.,
  • Ultrasonics.,
  • Compression ratio.

Book details:

Edition Notes

Other titlesRobust model based coding technique for ultrasound video.
StatementAlen Docef and Mark J.T. Smith.
Series[NASA contractor report] -- NASA-CR-204472., NASA contractor report -- NASA CR-204472.
ContributionsSmith, Mark J. T., United States. National Aeronautics and Space Administration.
The Physical Object
FormatMicroform
Pagination1 v.
ID Numbers
Open LibraryOL18121663M

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Model-based image coding is potentially a powerful technique for compressing scenes dominated by the head-shoulder images, as in a videotelephone scene with a closeup of the human upper-body. In this paper we describe a Kalman filtering-based technique to robustly recover 3D structure and kinematics of the head and arm in view from optical by: 1.   A real-time facial video coding/decoding system was proposed based on the establishment of 2D/3D mixed coding/decoding scheme. It has better rate/distortion performance at ultra-low bit-rate. Multi-measurements and online appearance models were applied to track the 3D facial motion from video by the improved particle filtering. 3D facial animation was Cited by: 4. Estimation techniques in computer vision applications must estimate accurate model parameters despite small-scale noise in the data, occasional large-scale measurement errors (outliers), and measurements from multiple populations in the same data set. Increasingly, robust estimation techniques, some borrowed from the statistics literature and others described in the computer Cited by: A Robust Model-Based Approach for 3D Head Tracking in Video Sequences Marius Malciu and Françoise Prêteux Institut National des Télécommunications ARTEMIS Project Unit {, x}@ Abstract We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated.