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检索条件"机构=School of Electrical and Computer Engineering Center for Signal and Image Processing"
411 条 记 录,以下是381-390 订阅
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A directional image decomposition for ultra-wideband SAR
A directional image decomposition for ultra-wideband SAR
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1998 23rd IEEE International Conference on Acoustics, Speech and signal processing, ICASSP 1998
作者: Rau, Richard McClellan, James H. Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA United States
This paper presents a theoretical analysis of the structure of wide angle, ultra-wideband SAR images formed by a constant integration angle backprojection image former. It is shown that the effects of the image former... 详细信息
来源: 评论
Hidden Markov modelling for SAR automatic target recognition
Hidden Markov modelling for SAR automatic target recognition
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1998 23rd IEEE International Conference on Acoustics, Speech and signal processing, ICASSP 1998
作者: Nilubol, Chanin Pham, Quoc H. Mersereau, Russell M. Smith, Mark J. T. Clements, Mark A. Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332 United States
This paper discusses the application of hidden Markov models (HMMs) to solve the translational and rotational invariant automatic target recognition (TRIATR) problem associated with SAR imagery. This approach is based... 详细信息
来源: 评论
Hidden Markov models for face recognition
Hidden Markov models for face recognition
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1998 23rd IEEE International Conference on Acoustics, Speech and signal processing, ICASSP 1998
作者: Nefian, Ara V. Hayes III, Monson H. Center for Signal and Image Process. School of Electrical and Computer Engineering Georgia Inst. of Technol. Atlanta GA 30332 United States
The work presented in this paper focuses on the use of hidden Markov models for face recognition. A new method based on the extraction of 2D-DCT feature vectors is described, and the recognition results are compared w... 详细信息
来源: 评论
Fractal interpolation of images and volumes
Fractal interpolation of images and volumes
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Asilomar Conference on signals, Systems & computers
作者: J.R. Price M.H. Hayes Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology USA
We present a method for constructing fractal interpolation surfaces and volumes through points sampled on rectangular lattices. Unlike other surface constructions ours uses rectangular rather than triangular tilings, ... 详细信息
来源: 评论
Perceptual relevance of objectively measured descriptors for speaker characterization
Perceptual relevance of objectively measured descriptors for...
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1998 23rd IEEE International Conference on Acoustics, Speech and signal processing, ICASSP 1998
作者: Necioglu, Burhan F. Clements, Mark A. Barnwell, Thomas P. Schmidt-Nielsen, Astrid Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332 United States Code 5513 Naval Research Laboratory 4555 Overlook Ave SW Washington DC 20375 United States
Subjective testing of speaker recognizability is an intricate, time consuming and very expensive process, but using objectively measurable descriptors to augment the subjective speaker recognizability tests could resu... 详细信息
来源: 评论
Hidden Markov models for face recognition
Hidden Markov models for face recognition
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International Conference on Acoustics, Speech, and signal processing (ICASSP)
作者: A.V. Nefian M.H. Hayes Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
The work presented in this paper focuses on the use of hidden Markov models for face recognition. A new method based on the extraction of 2D-DCT feature vectors is described, and the recognition results are compared w... 详细信息
来源: 评论
A directional image decomposition for ultra-wideband SAR
A directional image decomposition for ultra-wideband SAR
收藏 引用
International Conference on Acoustics, Speech, and signal processing (ICASSP)
作者: R. Rau J.H. McClellan Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
This paper presents a theoretical analysis of the structure of wide angle, ultra-wideband SAR images formed by a constant integration angle backprojection image former. It is shown that the effects of the image former... 详细信息
来源: 评论
Face detection and recognition using hidden Markov models
Face detection and recognition using hidden Markov models
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IEEE International Conference on image processing
作者: A.V. Nefian M.H. Hayes Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
The work presented in this paper describes a hidden Markov model (HMM)-based framework for face recognition and face detection. The observation vectors used to characterize the states of the HMM are obtained using the... 详细信息
来源: 评论
Fast rate-constrained N-step search algorithm for motion estimation
Fast rate-constrained N-step search algorithm for motion est...
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International Conference on Acoustics, Speech, and signal processing (ICASSP)
作者: M.Z. Coban R.M. Mersereau Center for Signal & Image Processing (CSIP) School of Electrical & Computer Engineering Georgia Institute of Technology Atlanta GA USA
A fast N-step search algorithm for rate-constrained motion estimation is presented. The motion vectors are selected from a search window based on a rate-distortion criterion by successively eliminating the search posi... 详细信息
来源: 评论
Sonar resolution-based environment mapping  15
Sonar resolution-based environment mapping
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15th IEEE International Conference on Robotics and Automation, ICRA 1998
作者: Cahut, Leyla Vlavanis, Kimon P. Delic, Hakan Robotics and Automation Laboratory Center for and Advanced Computer Studies University of Southwestern Louisiana LafayetteLA70504 United States Signal and Image Processing Laboratory Department of Electrical Engineering BogaziCi University Bebek 80815 Istanbul Turkey
Ultrasonic range sensors are used to obtain the information required for collision-free navigation of a mobile robot in a semi-structured or unstructured environment. A set of range readings from a ring of sonars are ... 详细信息
来源: 评论