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检索条件"任意字段=2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition"

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Anatomy of a color histogram

Anatomy of a color histogram

引用

conference on computer vision and pattern recognition (CVPR)

作者： C.L. Novak S.A. Shafer School of Computer Science Carnegie Mellon University Pittsburgh PA USA

It is shown that the color histogram has an even closer relationship to scene properties than has been previously described. Color histograms have identifiable features that relate in a precise mathematical way to scene properties. Object color and illumination color are the most obvious properties that are related to color distribution, and their extraction has already been described. It is shown here that the histogram of color variation may be further exploited to relate its shape to surface roughness and imaging geometry. An understanding of these features allows an improved estimate of illumination color and object color to be made.< >

关键词： Anatomy Histograms Image color analysis Reflection Layout Lighting Rough surfaces Surface roughness Geometry Image segmentation

来源：评论

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Learning codebook weights for action detection

Learning codebook weights for action detection

引用

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

作者： B G Vijay Kumar Ioannis Patras Queen Mary University of London London London GB School of Electronic Engineering and Computer Science Queen's Mary University of London London UK School of Electronic Engineering and Computer Science Queen Mary University of London London

In this work we present a discriminative codebook weighting approach for action detection. We learn global and local weights for the codewords by considering the spatio-temporal Hough voting space of the training sequences. In contrast to the Implicit Shape Model (ISM) where all the codewords that are matched to a local descriptor cast votes with uniform weights, we learn local weights for the matched codewords. In order to learn the local weights we employ Locality-constrained Linear Coding (LLC). Further, we formulate the learning of the global weights as a convex quadratic programming and use alternating optimization to solve for the weights. We demonstrate the performance of the algorithm on KTH action dataset where we compare with the Hough detector using kmeans codebook.

关键词： Training Vectors Probabilistic logic Testing Dictionaries Feature extraction Shape

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On corner and vertex detection

On corner and vertex detection

引用

conference on computer vision and pattern recognition (CVPR)

作者： G. Giraudon R. Deriche I.N.R.I.A. Sophia Antipolis La Valbonne France

A formal representation of corner and vertex detection is presented. In particular, an analytical study is presented which allows one to know exactly what the behavior is of a detector around trihedral vertices. It is shown that near three surfaces, two elliptic maxima of DET exist, and their location is inside extremal contrast surface. The intermediate surface always shows a hyperbolic minima. It is shown that the detector allows to find the exact position of vertex. The approach proposed has been tested on many noisy synthetic data and real images and its robustness seems promising.< >

关键词： computer vision Detectors Image analysis Image edge detection Application software Motion analysis Testing Image segmentation Feature extraction Layout

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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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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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recognition of strings using nonstationary Markovian models: an application in ZIP code recognition

Recognition of strings using nonstationary Markovian models:...

引用

conference on computer vision and pattern recognition (CVPR)

作者： D. Bouchaffra V. Govindaraju S.N. Srihari Center of Excellence for Document Analysis and Recognition (CEDAR) Department of Computer Science State University of New York Amherst NY USA

This paper presents nonstationary Markovian models and their application to recognition of strings of tokens, such as ZIP codes in the US mailstream. Unlike traditional approaches where digits are simply recognized in isolation, the novelty of our approach lies in the manner in which recognitions scores along with domain specific knowledge about the frequency distribution of various combination of digits are all integrated into one unified model. The domain knowledge is derived from postal directory files. This data feeds into the models as n-grams statistics that are seamlessly integrated with recognition scores of digit images. We present the recognition accuracy (90%) achieved on a set of 20,000 ZIP codes.

关键词： Image recognition Image segmentation Application software pattern recognition Natural languages Venus Text analysis computer science Frequency Feeds

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User assisted modeling of buildings from aerial images

User assisted modeling of buildings from aerial images

引用

conference on computer vision and pattern recognition (CVPR)

作者： J. Li R. Nevatia S. Nornoha Institute for Robotics and Intelligent Systems University of Southern California Los Angeles CA USA

An approach that allows a user to assist an automatic system in modeling buildings is described. The approach is designed to be efficient in user time and effort while preserving the quality of the models created. Currently our system is able to handle the rectangular buildings with flat roof or symmetric gabled roof. Models can be created by only one or two clicks in many cases. Efficient editing of automatically derived models is also possible.

关键词： Buildings Intelligent robots Humans Shape Robotics and automation Intelligent systems Intelligent structures computer vision Bridges Costs

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Visual map matching and localization using a global feature map

Visual map matching and localization using a global feature ...

引用

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

作者： Oliver Pink Institut fur Mess und Regelungstechnik Universitat Karlsruhe Karlsruhe Germany

This paper presents a novel method to support environmental perception of mobile robots by the use of a global feature map. While typical approaches to simultaneous localization and mapping (SLAM) mainly rely on an on-board camera for mapping, our approach uses geographically referenced aerial or satellite images to build a map in advance. The current position on the map is determined by matching features from the on-board camera to the global feature map. The problem of feature matching is posed as a standard point pattern matching problem and a solution using the iterative closest point method is given. The proposed algorithm is designed for use in a street vehicle and uses lane markings as features, but can be adapted to almost any other type of feature that is visible in aerial images. Our approach allows for estimating the robot position at a higher precision than by a purely GPS-based localization, while at the same time providing information about the environment far beyond the current field of view.

关键词： Simultaneous localization and mapping Cameras pattern matching Mobile robots Robot vision systems Satellites Iterative methods Iterative algorithms Algorithm design and analysis Vehicles

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Real-time classification of pedestrians and cyclists for intelligent counting of non-motorized traffic

Real-time classification of pedestrians and cyclists for int...

引用

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

作者： A.N. Belbachir S. Schraml N. Brändle Neuroinformatics Safety & Security Department Austrian Institute of Technology GmbH Vienna Austria Dynamic Transportation Systems Mobility Department Austrian Institute of Technology GmbH Vienna Austria

We propose a real-time method for counting pedestrians and bicyclists by classifying bulks of asynchronous events generated upon scene activities by an event-based 3D dynamic vision system. The inherent detection of moving objects offered by the 3D dynamic vision system comprising a pair of dynamic vision sensors allows event-based stereo vision in real-time and a 3D representation of moving objects. A clustering method exploits the sparse spatio-temporal representation of sensor's events for real-time detection and separation between moving objects. The method has been demonstrated for clustering the events and classification of pedestrian and cyclists moving across the sensor field of view based on their dimensions and passage duration. Tests on real scenarios with more than 100 cyclists and pedestrians yield a classification performance above 92%.

关键词： Layout Machine vision Sensor systems Stereo vision Real time systems Object detection computer vision Voltage control System-on-a-chip Lighting

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Robot pose estimation in unknown environments by matching 2D range scans

Robot pose estimation in unknown environments by matching 2D...

引用

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

作者： Feng Lu Milios Department of Computer Science University of Toronto Toronto ONT Canada Department of Computer Science York University North York ONT Canada

We develop two algorithms to register a range scan to a previous scan so as to compute relative robot positions in an unknown environment. The first algorithm is used on matching tangent lines defined on two scans and minimizing a distance function. The second algorithm iteratively establishes correspondences between points in the two scans and then solves the point-to-point least-squares problem to compute the relative pose. Our methods avoid the use of localized features. They work in curved environments and can handle partial occlusions.< >

关键词： Robots, vision systems Mobile robots Image matching Least-squares methods Image line-pattern analysis Minimization methods Image shape analysis

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