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Accurate vergence control in complex scenes

Accurate vergence control in complex scenes

引用

ieee computer society conference on computer Vision and pattern recognition Workshops (CVPRW)

作者： Taylor Olson Martin Department of Computer Science University of Virginia Charlottesville VA USA

In binocular visual systems, vergence is the process of directing the gaze so that the optical axes intersect at a surface point. Correlation-based methods of disparity analysis provide fast estimates of the vergence error. Unfortunately most correlation techniques do not provide mechanisms to determine which image locations contributed to a given correlation peak. The result is that large correlation peaks may have contributions from image arena not relevant to the vergence task. This paper presents a vergence system that applies a cepstral filter to multiscale images obtained from a dominant-eye binocular sensor. As used by this system, the cepstral filter has two main advantages: it enhances targets through narrow-band signal suppression, and it supports a back-projection operation to determine the image locations associated with particular correlation peaks. The use of multiscale images allows the system to have both high resolution for precision in the final vergence and a large field of view for a wide range of initial camera orientations without undue computational cost.< >

关键词： Machine vision image processing

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Efficient graphical models for processing.images

Efficient graphical models for processing images

引用

conference on computer Vision and pattern recognition (CVPR)

作者： M.F. Tappen B.C. Russell W.T. Freeman Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA USA

Graphical models are powerful tools for processing.images. However, the large dimensionality of even local image data poses a difficulty. Representing the range of possible graphical model node variables with discrete states leads to an overwhelmingly large number of states for the model, often making both exact and approximate inference computationally intractable. We propose a representation that allows a small number of discrete states to represent the large number of possible image values at each pixel or local image patch. Each node in the graph represents the best regression function, chosen from a set of candidate functions, for estimating the unobserved image pixels from the observed samples. This permits a small number of discrete states to summarize the range of possible image values at each point in the image. Belief propagation is then used to find the best regressor to use at each point. To demonstrate the usefulness of this technique, we apply it to two problems: super-resolution and color demosaicing. In both cases, we find our method compares well against other techniques for these problems.

关键词： Graphical models Pixel Belief propagation Statistics computer science Artificial intelligence Laboratories Layout Gray-scale Inference algorithms

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6-DOF pose estimation from single Ultrasound image using 3D IP models

6-DOF pose estimation from single Ultrasound image using 3D ...

引用

ieee computer society conference on computer Vision and pattern recognition Workshops (CVPRW)

作者： Bo Zheng Ryo Ishikawa Takeshi Oishi Jun Takamatsu Katsushi Ikeuchi Ikeuchi Laboratory University of Tokyo Tokyo Japan Medical Imaging Project Canon Inc. Tokyo Japan

Real-time pose estimation of a free-hand ultrasound (US) image without any position sensor is desirable for diagnostics and image guidance, but it suffers from poor image quality as a result of processing. The paper confronts this problem by proposing a new 6-DOF pose estimation method based on a fast registration process making use of 3D implicit polynomials (IP). The proposed registration method has some main advantages over the traditional methods. First, our formulation is based on minimization of energy functional derived from IP gradient flow, and thus it is more efficient than traditional registration because it eliminates the cost for calculating point-wise correspondences. Second, the efficient calculation benefits from the property of IP having few coefficients, which means that both the gradient field and its transformation can be calculated in an extremely light manner. Third, applying a real time US image pose estimation, we demonstrate the capabilities of overcoming the limitations of unconstrained free hand US data, resulting in robust and fast pose estimation.

关键词： Ultrasonic imaging Computed tomography Magnetic resonance imaging Positron emission tomography image sensors Polynomials Optical imaging Surgery image quality Robustness

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Simultaneous structure and texture image inpainting

Simultaneous structure and texture image inpainting

引用

conference on computer Vision and pattern recognition (CVPR)

作者： M. Bertalmio L. Vese G. Sapiro S. Osher UCLA University Pompeu Fabra University of Minnesota USA

An algorithm for the simultaneous filling-in of texture and structure in regions of missing image information is presented. The basic idea is to first decompose the image into the sum of two functions with different basic characteristics, and then reconstruct each one of these functions separately with structure and texture filling-in algorithms. The first function used in the decomposition is of bounded variation, representing the underlying image structure, while the second function captures the texture and possible noise. The region of missing information in the bounded variation image is reconstructed using image inpainting algorithms, while the same region in the texture image is filled-in with texture synthesis techniques. The original image is then reconstructed adding back these two sub-images. The novel contribution of the paper is then in the combination of these three previously developed components: image decomposition with inpainting and texture synthesis, which permits the simultaneous use of filling-in algorithms that are suited for different image characteristics. Examples on real images show the advantages of this proposed approach.

关键词： image reconstruction image decomposition image coding Switches image processing image communication image restoration Filling image texture analysis Reconstruction algorithms

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Human pose estimation from a single view point, real-time range sensor

Human pose estimation from a single view point, real-time ra...

引用

ieee computer society conference on computer Vision and pattern recognition Workshops (CVPRW)

作者： Matheen Siddiqui Gérard Medioni Institute for Robotics and Intelligence Systems University of Southern California Los Angeles CA USA

We estimate and track articulated human poses in sequences from a single view, real-time range sensor. We use a data driven MCMC approach to find an optimal pose based on a likelihood that compares synthesized depth images to the observed depth image. To speed up convergence of this search, we make use of bottom up detectors that generate candidate head, hand and forearm locations. Our Markov chain dynamics explore solutions about these parts and thus combine bottom up and top down processing. The current performance is 10 frames per second. We provide quantitative performance evaluation using hand annotated data. We demonstrate significant improvement over a baseline ICP approach. This algorithm is then adapted to estimate the specific shape parameters of subjects for use in tracking. In particular, limb dimensions are included in the human pose parametrization and are automatically estimated for each subject in short training sequences. Tracking performance is quantitatively evaluated using these person specific trained models.

关键词： Humans Sensor systems Intelligent sensors Detectors Shape Cameras Tracking image databases Real time systems Intelligent robots

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Building reconstruction from optical and range images

Building reconstruction from optical and range images

引用

conference on computer Vision and pattern recognition (CVPR)

作者： C.O. Jaynes A. Hanson E. Riseman H. Schultz Computer Vision Laboratory Department of Computer Science University of Massachusetts Amherst USA

A technique is introduced for extracting and reconstructing a wide class of building types from a registered range image and optical image. An attentional focus stage, followed by model indexing, allows top-down robust surface fitting to reconstruct the 3D nature of the buildings in the data. Because of the effectiveness of model selection, top-down processing.of noisy range data still succeeds and the algorithm is capable of detecting and reconstructing several different building roof classes, including flat single level, flat multi-leveled, peaked, and curved rooftops. The algorithm is applicable to range data that may have been collected from several different range sensor types. We demonstrate reconstructions of different buildings classes in the presence of large amounts of noise. Our results underline the usefulness of range data when processed in the context of a focus-of-attention area derived from the monocular optical image.

关键词： image reconstruction Optical sensors Optical noise Focusing Surface fitting Data mining Indexing Robustness Surface reconstruction Noise level

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3D reconstruction of the human jaw from a sequence of images

3D reconstruction of the human jaw from a sequence of images

引用

conference on computer Vision and pattern recognition (CVPR)

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

A novel approach is proposed to obtain a record of the patient's occlusion using computer vision. Data acquisition is obtained using intra-oral video cameras. The technique utilizes shape from shading to extract 3D information from 2D views of the jaw, and a novel technique for 3D data registration using genetic algorithms. The resulting 3D model can be used for diagnosis, treatment planning, and implant purposes. The overall purpose of this research is to develop a model-based vision system for orthodontics to replace traditional approaches. This system will be flexible, accurate, and will reduce the cost of orthodontic treatments.

关键词： image reconstruction Humans computer vision Data acquisition Cameras Shape Data mining Genetic algorithms Implants Machine vision

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Pyramid Ensemble Structure for High Resolution image Shadow Removal

Pyramid Ensemble Structure for High Resolution Image Shadow ...

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ieee computer society conference on computer Vision and pattern recognition Workshops (CVPRW)

作者： Shuhao Cui Junshi Huang Shuman Tian Mingyuan Fan Jiaqi Zhang Li Zhu Xiaoming Wei Xiaolin Wei Meituan Group

Existing methods for shadow removal in high-resolution images may not be effective due to challenges such as the time-consuming nature of training and the loss of visual data during image cropping or resizing, highlighting the necessity for the development of more efficient methods. In this paper, we propose a novel Pyramid Ensemble Structure (PES) for High Resolution image Shadow Removal. Our approach takes advantage of multiple scales by constructing pyramid inputs that allow for the capturing of a wide range of shadow sizes and shapes. We then train the network in pyramid stages to enhance global information processing. Furthermore, an ensemble of different shadow removal models is employed, and the maximum value is chosen to indicate the least amount of remaining shadow in the output. Experiments on both validation and testing data sets confirm the effectiveness of our method. In the image Shadow Removal Challenge competition, our method obtained 22.36 PSNR score (1st place) and 0.70 SSIM score (2nd place) on the test sets.

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Bayesian image segmentation using wavelet-based priors

Bayesian image segmentation using wavelet-based priors

引用

conference on computer Vision and pattern recognition (CVPR)

作者： M.A.T. Figueiredo Department of Electrical and Computer Engineering Instituto Superior Técnico Instituto de Telecomunicaćões Lisboa Portugal

This paper introduces a formulation which allows using wavelet-based priors for image segmentation. This formulation can be used in supervised, unsupervised, or semi-supervised modes, and with any probabilistic observation model (intensity, multispectral, texture). Our main goal is to exploit the well-known ability of wavelet-based priors to model piece-wise smoothness (which underlies state-of-the-art methods for denoising, coding, and restoration) and the availability of fast algorithms for wavelet-based processing. The main obstacle to using wavelet-based priors for segmentation is that they're aimed at representing real values, rather than discrete labels, as needed for segmentation. This difficulty is sidestepped by the introduction of real-valued hidden fields, to which the labels are probabilistically related. These hidden fields, being unconstrained and real-valued, can be given any type of spatial prior, such as one based on wavelets. Under this model, Bayesian MAP segmentation is carried out by a (generalized) EM algorithm. Experiments on synthetic and real data testify for the adequacy of the approach.

关键词： Bayesian methods image segmentation image restoration computer vision Biomedical imaging Markov random fields Spatial coherence Telecommunications Noise reduction Discrete wavelet transforms

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Variable window Gabor filters and their use in focus and correspondence

Variable window Gabor filters and their use in focus and cor...

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ieee computer society conference on computer Vision and pattern recognition Workshops (CVPRW)

作者： Yalin Xiong Shafer The Robotics Institute Carnegie Mellon University Pittsburgh PA USA

There are two basic problems concerned with Gabor filterings that we will address in this paper. One is the window size problem, in which we will adopt a set of 2D variable window Gabor filters, and compare its performance with those of fixed window filters. We will show that the variable window scheme is more adaptive to image contents. The other problem we will address is the stability of amplitude and phase information resulting from convolving the filters with images. We will extend Fleet's 1D phase stability analysis to 2D phase and amplitude stability analysis based upon the assumption of local resemblance of filter outputs to a single sinusoid. Applications on focus quality measurement and 2D correspondence are described, and the results demonstrate improvements of performance by detecting unstable information using the criterion developed.< >

关键词： Feature extraction image processing Stability

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