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A system for human jaw modeling using intra-oral images

A system for human jaw modeling using intra-oral images

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： S.M. Yamany A.A. Farag Computer Vision and Image Processing Laboratory Department of Electrical Engineering University of Louisville Louisville KY USA

A novel integrated system is developed to obtain a record of the patient's occlusion using computer vision. Data acquisition is obtained using intra-oral video camera. A modified Shape from Shading (SFS) technique using perspective projection and camera calibration is then used to extract accurate 3D information from a sequence of 2D images of the jaw. A novel technique for 3D data registration using Grid Closest Point (GCP) transform and genetic algorithms (GA) is used to register the output of the SFS stage. Triangulization is then performed, and a solid 3D model is obtained via a rapid prototype machine. The overall purpose of this research is to develop a model-based vision system for orthodontics that will replace traditional approaches and can be used in diagnosis, treatment planning, surgical simulation and implant purposes.

关键词： Humans Cameras computer vision Data acquisition Shape Calibration Data mining Genetic algorithms Solid modeling Prototypes

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Generalized orthogonal subspace projection approach to multispectral image classification 4

Generalized orthogonal subspace projection approach to multi...

引用

image and Signal processing for Remote Sensing IV 1998

作者： Ren, Hsuan Chang, Chein-I Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County 1000 Hilltop Circle BaltimoreMD21250 United States

ISBN: (纸本)9780819429599

Orthogonal subspace projection (OSP) has been successfully applied to hyperspectral image processing. In order for OSP to be effective, the number of bands must be no less than that of signatures to be classified so that there are sufficient dimensions to accommodate individual signatures to discriminate one another via orthogonal projection. This intrinsic constraint is not an issue for hyperspectral images since they generally have hundreds of bands which are more than the number of signatures resident within images. It, however, may not be true for multispectral images where the number of signatures to be classified is greater than the number of bands such as 3-band SPOT images. This paper presents a generalization of OSP, called generalized OSP (GOSP) to relax this constraint in such a fashion that OSP can be extended to multispectral image processing in an unsupervised fashion. The idea of GOSP is to create new additional band images nonlinearly from original multispectral images so as to achieve sufficient dimensionality prior to OSP classification. It is then followed by an unsupervised OSP classifier, called automatic target detection and classification algorithm (ATDCA) for classification. The effectiveness of the proposed GOSP is evaluated by a 3-band SPOT and a 4-band Landsat MSS images. The experimental results has shown that GOSP significantly improves the classification performance of OSP. © 1998 SPIE.

关键词： Landsat

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Active contours: an overview with applications to motion artifact cancellation in MRI

Active contours: an overview with applications to motion art...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： D.L. Guidry A.A. Farag Computer Vision and Image Processing Lab Electrical Engineering Department University of Louisville Louisville KY USA

Motion can be estimated by detecting the edges of a moving object using Active Contours, and registering them together to obtain the motion model parameters. This idea can be applied to patient motion during the acquisition of an MRI to eliminate motion artifacts in the image. The data obtained during the MRI acquistion, the k-space, can be divided into several subbands such that each subband is acquired in a small fraction of the full imaging time. These subbands create invariant tissue feature maps called subband images. Using Active Contours, the relative motion is analyzed across the different subband images to determine the motion parameters. Using these motion parameters it is possible to correct the subbands, thus correcting the k-space. This has the potential to yield clear, noise-free MR images.

关键词： Active contours Magnetic resonance imaging image edge detection computer vision Motion estimation Object detection Motion detection Motion analysis Gray-scale Application software

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Sonar resolution-based environment mapping 15

Sonar resolution-based environment mapping

引用

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

ISBN: (纸本)078034300X

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 correlated to acquire a 2D map of the robot's environment. The map is continuously enhanced via novel matching and update algorithms as new data are collected while the robot is in motion. The algorithm utilizes confidence measures that are directly obtained from the sonar's resolution or accuracy. There are no additional modeling assumptions and the approach is robust. The algorithms are experimentally tested on the Nomad 200 mobile robot and Nomad's Cognos Software Development Package. © 1998 IEEE.

关键词： Software testing

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Vector set partitioning with classified successive refinement VQ for embedded wavelet image coding

Vector set partitioning with classified successive refinemen...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： D. Mukherjee S.K. Mitra Image Processing Laboratory Department of Electrical & Computer Engineering University of California Santa Barbara CA USA

Set Partitioning in Hierarchical Trees (SPIHT), proposed by Said and Pearlman [1996], is generally regarded as a very efficient wavelet-based still image compression scheme. The algorithm uses an efficient, joint scanning and bit-allocation mechanism for quantizing the scalar wavelet coefficients, and produces a perfectly embedded bitstream. This work extends set partitioning to scan vectors of wavelet coefficients, and uses successive refinement VQ techniques such as multistage and tree-structured VQ, to quantize several wavelet coefficients at once. The new scheme is named VSPIHT (Vector SPIHT). Coding results are presented to demonstrate that the vector-based approach (without arithmetic coding) surpasses the scalar counterpart (also without arithmetic coding), in the mean-squared-error sense, for most images at low bitrates. The superiority of the vector-based approach is more pronounced for images that are generally regarded as difficult to code (such as Barbara) because of a large amount of detail.

关键词： image coding Wavelet coefficients Quantization Frequency Arithmetic Filters Decoding Bit rate image processing Laboratories

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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

ISBN: (纸本)0780344286

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 result in increased efficiency and reliability. This paper describes our investigation into the relevancy of a set of objective descriptors to human perception of speaker identity through multidimensional scaling (MDS) of subjective speaker pair similarity judgments. The evaluated objective descriptors can achieve same/different detection error rates as low as 4.13% for male speaker pairs, and 8.17% for female speaker pairs, with only 3 seconds of speech. Five descriptors related to glottal, vocal tract and prosodic features were found to have significant correlations with the perceptual dimensions of the MDS solutions. © 1998 IEEE.

关键词： Subjective testing

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Very low bit rate wavelet-based scalable video compression

Very low bit rate wavelet-based scalable video compression

引用

IEEE International Conference on image processing

作者： E. Asbun P. Salama Ke Shen E.J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Rate scalable video compression is appealing for low bit rate applications, such as video telephony and wireless communication, where bandwidth available to an application cannot be guaranteed. A technique known as scalable adaptive motion compensated wavelet (SAMCoW) compression is described. SAMCoW is well suited for data rates less than 32 kbps. Several techniques to improve the subjective picture quality of SAMCoW are investigated. These include the use of B frames, half-pixel accuracy, and unrestricted motion vectors.

关键词： Bit rate Video compression Telephony Wireless communication Bandwidth

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Reversible wavelet and spectral transforms for lossless compression of color images

引用

IEEE International Conference on image processing

作者： N. Strobel S.K. Mitra B.S. Manjunath Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

ISBN: (纸本)0818688211

A new lossless image compression method for progressive-resolution transmission of color images is proposed. It is based on spatial and spectral transforms. Reversible wavelet transforms are performed across the red, green, and blue color components first. Then adaptive spectral transforms are applied to the associated color subbands. Simulation results indicate that the proposed algorithm can achieve bit rates that are about 20% lower than results obtained with comparable lossless image compression techniques supporting progressive-resolution transmission.

关键词： Wavelet transforms image coding Color Decorrelation Signal resolution Propagation losses image storage Signal processing image processing Laboratories

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A Gaussian mixture model for edge-enhanced images with application to sequential edge detection and linking

A Gaussian mixture model for edge-enhanced images with appli...

引用

IEEE International Conference on image processing

作者： G.W. Cook E.J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

We present a new stochastic model for pixels in an edge-enhanced image. The model is robust because it allows for the possibilities of false and multiple edges, and may be efficiently estimated using a expectation-maximization technique with a minimum description length metric. The direct applicability of the model for the sequential edge linking algorithm is investigated.

关键词： image edge detection Joining processes Pixel Density functional theory Application software image processing Stochastic processes Statistics Signal to noise ratio Laboratories

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ViBE: a new paradigm for video database browsing and search

ViBE: a new paradigm for video database browsing and search

引用

IEEE Workshop on Content-Based Access of image and Video Libraries (CBAIVL)

作者： Jau-Yuen Chen C. Taskiran E.J. Delp C.A. Bouman Electronic Imaging Systems Laboratory EISLVideo and Image Processing Laboratory VIPER School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Video Browsing Environment (ViBE) is a unique browseable/searchable paradigm for organizing video databases containing a large number of sequences. The system first segments video sequences into shots by using the generalized trace obtained from the DC-sequence of the compressed data stream. Each video shot is then represented by a hierarchical tree structure of key frames, and the shots are automatically classified into predetermined pseudo-semantic classes. Finally, the results are presented to the user in an active browsing environment using a similarity pyramid data structure. The similarity pyramid allows the user to view the video database at various levels of detail. The user can also define semantic classes and reorganize the browsing environment based on relevance feedback.

关键词： Video compression image databases Video sequences Streaming media Laboratories Feedback Layout Labeling image processing Data engineering

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