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A cost minimization approach to edge detection using simulated annealing

A cost minimization approach to edge detection using simulat...

引用

conference on computer vision and pattern recognition (CVPR)

作者： H.L. Tan S.B. Gelfand E.J. Delp Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

Edge detection is analyzed as a problem in cost minimization. A cost function is formulated that evaluates the quality of edge configurations. A mathematical description of edges is given, and the cost function is analyzed in terms of the characteristics of the edges in minimum-cost configurations. The cost function is minimized by the simulated annealing method. A novel set of strategies for generating candidate states and a suitable temperature schedule are presented. Sequential and parallel versions of the annealing algorithm are implemented and compared. Experimental results are presented.< >

关键词： Image edge detection Simulated annealing Cost function Pixel IEL Tin Image segmentation

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A subspace approach to layer extraction

A subspace approach to layer extraction

引用

conference on computer vision and pattern recognition (CVPR)

作者： Q. Ke T. Kanade School of Computer Science Carnegie Mellon University USA

ISBN: (纸本)0769512720

Representing images with layers has many important applications, such as video compression, motion analysis, and 3D scene analysis. This paper presents an approach to reliably extracting layers from images by taking advantages of the fact that homographies induced by planar patches in the scene form a low dimensional linear subspace. Layers in the input images will be mapped in the subspace, where it is proven that they form well-defined clusters and can be reliably identified by a simple mean-shift based clustering algorithm. Global optimality is achieved since all valid regions are simultaneously taken into account, and noise can be effectively reduced by enforcing the subspace constraint. Good layer descriptions are shown to be extracted in the experimental results.

关键词： Subspace constraints Tiles Motion analysis Image analysis Layout computer vision Motion estimation computer science Video compression Clustering algorithms

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Feature extraction from faces using deformable templates

Feature extraction from faces using deformable templates

引用

conference on computer vision and pattern recognition (CVPR)

作者： A.L. Yuille D.S. Cohen P.W. Hallinan Harvard Robotics Laboratory Division of Applied Sciences Harvard University USA

A method for detecting and describing the features of faces using deformable templates is described. The feature of interest, an eye for example, is described by a parameterized template. An energy function is defined which links edges, peaks, and valleys in the image intensity to corresponding properties of the template. The template then interacts dynamically with the image, by altering its parameter values to minimize the energy function, thereby deforming itself to find the best fit. The final parameter values can be used as descriptors for the features. This method is demonstrated by showing deformable templates detecting eyes and mouths in real images.< >

关键词： Feature extraction Image edge detection Face detection computer vision Eyes Mouth Deformable models Robots Laboratories Face recognition

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A General Framework and New Alignment Criterion for Dense Optical Flow

A General Framework and New Alignment Criterion for Dense Op...

引用

conference on computer vision and pattern recognition (CVPR)

作者： R. Ben-Ari N. Sochen Department of Applied Mathematics Tel-Aviv University Tel-Aviv Israel

The problem of dense optical flow computation is addressed from a variational viewpoint. A new geometric framework is introduced. It unifies previous art and yields new efficient methods. Along with the framework a new alignment criterion suggests itself. It is shown that the alignment between the gradients of the optical flow components and between the latter and the intensity gradients is an important measure of the flow’s quality. Adding this criterion as a requirement in the optimization process improves the resulting flow. This is demonstrated in synthetic and real sequences.

关键词： Image motion analysis Anisotropic magnetoresistance Geometrical optics Optical computing computer vision Smoothing methods Image processing Mathematics Art Optical devices

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Coded exposure imaging for projective motion deblurring

Coded exposure imaging for projective motion deblurring

引用

conference on computer vision and pattern recognition (CVPR)

作者： Yu-Wing Tai Naejin Kong Stephen Lin Sung Yong Shin Korea Advanced Institute of Science and Technology South Korea Microsoft Research Asia China

We propose a method for deblurring of spatially variant object motion. A principal challenge of this problem is how to estimate the point spread function (PSF) of the spatially variant blur. Based on the projective motion blur model of, we present a blur estimation technique that jointly utilizes a coded exposure camera and simple user interactions to recover the PSF. With this spatially variant PSF, objects that exhibit projective motion can be effectively de-blurred. We validate this method with several challenging image examples.

关键词： Motion estimation Cameras Frequency Layout Object detection Motion detection computer vision Pixel Image sampling Hardware

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High Level Activity recognition using Low Resolution Wearable vision

High Level Activity Recognition using Low Resolution Wearabl...

引用

ieee computer society conference on computer vision and pattern recognition Workshops

作者： Sudeep Sundaram Walterio W. Mayol Cuevas Department of Computer Science University of Bristol UK

ISBN: (纸本)9781424439942

This paper presents a system aimed to serve as the enabling platform for a wearable assistant. The method observes manipulations from a wearable camera and classifies activities from roughly stabilized low resolution images (160×120 pixels) with the help of a 3-level Dynamic Bayesian Network and adapted temporal templates. Our motivation is to explore robust but computationally inexpensive visual methods to perform as much activity inference as possible without resorting to more complex object or hand detectors. The description of the method and results obtained are presented, as well as the motivation for further work in the area of wearable visual sensing.

关键词： Cameras Wearable sensors Bayesian methods Manipulator dynamics Robustness Sensor arrays Image resolution Pixel Object detection Wearable computers

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MRF augmented particle filter tracker

MRF augmented particle filter tracker

引用

conference on computer vision and pattern recognition (CVPR)

作者： H.L. Wang L.-F. Cheong National University of Singapore Singapore

ISBN: (纸本)0769523722

In particle filter trackers, the object a posteriori distribution is severely distorted under more challenging situations like occlusion. To overcome the problem, this paper proposes a principled manner of augmenting the particle filter algorithm with an MRF based representation of the tracked object within a dynamic Bayesian framework, where the object is transformed into a composite of multiple MRF regions. This results in more accurate modeling, thus improving the tracking performance. Additionally, Metropolis based sampling of the regions enhances the tracker with an adaptive ability. Finally, the resultant generative model provides a natural framework to integrate multiple cues. Experiments show good tracking results for challenging situations.

关键词： Particle filters Particle tracking Target tracking Bayesian methods Robustness computer vision Switches Sampling methods Application software Target recognition

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Identification and 3D description of 'shallow' environmental structure in a sequence of images

Identification and 3D description of 'shallow' environmental...

引用

conference on computer vision and pattern recognition (CVPR)

作者： H.S. Sawhney A.R. Hanson Computer and Information Science Department University of Massachusetts Amherst Amherst MA USA

A framework is presented for segmenting shallow structures from their background over a sequence of images. Shallowness is first quantified as affine describability. This is embedded in a tracking system within which hypothesized model structures undergo a cycle of prediction and model-matching. Structures emerge either as shallow or non-shallow based on their affine trackability. This paper rejects continuity heuristics for purely image motion in favor of temporal continuity defined as the consistency of generic 3-D models, namely shallow structures.< >

关键词： Layout Image segmentation Cameras Aggregates Mobile robots Predictive models Surface texture Information science Robot vision systems Motion detection

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Using vision based tracking to support real-time graphical instruction for students who have visual impairments

Using vision based tracking to support real-time graphical i...

引用

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

作者： Bing Fang Francisco Oliveira Francis Quek Virginia Polytechnic Institute and State University Blacksburg VA USA

In this paper, we describe a real-time vision-based tracking system to help students who are blind or visually impaired (SBVI) to follow instructional discourse that employs graphical illustrations. The vision system employs a color model based tracking for both the instructor's pointing behavior and the SBVI's reading behavior, and maps the pointing positions into the same coordinates. Our Haptic Deictic System - HDS system also employs a haptic glove to provide SBVI access to the situated pointing behavior of instructor that is performed in conjunction with speech, and provides the instructor real-time visual feedback on the SBVI's reading actions. Thus, our system supports two-way situated multimodal communication. In this paper, we first introduce our system, and then we discuss studies that show the efficacy of our approach.

关键词： Haptic interfaces Cameras Real time systems Target tracking Graphics Fingers Feedback Drives Machine vision Speech

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Coupled hidden Markov models for complex action recognition

Coupled hidden Markov models for complex action recognition

引用

conference on computer vision and pattern recognition (CVPR)

作者： M. Brand N. Oliver A. Pentland Vision and Modeling Group MIT Media Laboratory Cambridge MA USA

We present algorithms for coupling and training hidden Markov models (HMMs) to model interacting processes, and demonstrate their superiority to conventional HMMs in a vision task classifying two-handed actions. HMMs are perhaps the most successful framework in perceptual computing for modeling and classifying dynamic behaviors, popular because they offer dynamic time warping, a training algorithm and a clear Bayesian semantics. However the Markovian framework makes strong restrictive assumptions about the system generating the signal-that it is a single process having a small number of states and an extremely limited state memory. The single-process model is often inappropriate for vision (and speech) applications, resulting in low ceilings on model performance. Coupled HMMs provide an efficient way to resolve many of these problems, and offer superior training speeds, model likelihoods, and robustness to initial conditions.

关键词： Hidden Markov models Speech Bayesian methods computer vision Signal generators Signal processing Application software Signal resolution Robustness Turning

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