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Comparison of edge detectors using an object recognition task

Comparison of edge detectors using an object recognition tas...

引用

conference on computer vision and pattern recognition (cvpr)

作者： M.C. Shin D. Goldgof K.W. Bowyer Department of Computer Science & Engineering University of South Florida Tampa FL USA

This paper presents a methodology and results of evaluating edge detection algorithms using an object recognition task. A dataset consisting of 37 real images with 5 different jeep-like vehicles is used. Five edge detectors are compared using ROC curve analysis. The Heitger detector gives the best results. The work is being extended to include more images and a train-and-test style evaluation.

关键词： Object detection Detectors Object recognition Image edge detection Layout Land vehicles Road vehicles computer science Automotive engineering Sliding mode control

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Computing rectifying homographies for stereo vision

Computing rectifying homographies for stereo vision

引用

conference on computer vision and pattern recognition (cvpr)

作者： C. Loop Zhengyou Zhang Microsoft Research Limited Redmond WA USA

Image rectification is the process of applying a pair of 2D projective transforms, or homographies, to a pair of images whose epipolar geometry is known so that epipolar lines in the original images map to horizontally aligned lines in the transformed images. We propose a novel technique for image rectification based on geometrically well defined criteria such that image distortion due to rectification is minimized. This is achieved by decomposing each homography into a specialized projective transform, a similarity transform, followed by a shearing transform. The effect of image distortion at each stage is carefully considered.

关键词： computer vision Stereo vision Geometry Pixel Layout Optical distortion Shearing Interpolation Geometrical optics Nonlinear optics

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Subset selection for active object recognition

Subset selection for active object recognition

引用

conference on computer vision and pattern recognition (cvpr)

作者： J. Winkeler B.S. Manjunath S. Chandrasekaran Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

This paper presents an algorithm for constructing object representations suitable for recognition. The system automatically selects a representative subset of the views of the object while constructing the eigenspace basis. These views are actively located for object identification and pose determination. All processing is performed on-line. The camera is actively positioned during both representation and recognition. When tested with 240 views for each of seven objects, the system achieves 100% accurate object recognition and pose determination. These results are shown to degrade gracefully as conditions deteriorate.

关键词： Object recognition Cameras System testing Greedy algorithms Image reconstruction Degradation Image recognition Solid modeling Face recognition Sampling methods

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A fuzzy K-NN algorithm using weights from the variance of membership values

A fuzzy K-NN algorithm using weights from the variance of me...

引用

conference on computer vision and pattern recognition (cvpr)

作者： J.H. Han Y.K. Kim Department of Computer Science and Engineering POSTECH Pohang South Korea Shinsegi Teleommunications Inc. Seoul South Korea

In this paper, a new fuzzy K-nearest neighbor (K-NN) algorithm, called "Variance Weighted Fuzzy K-NN", is proposed. The main idea of this method is in giving weights to neighbors according to the standard deviation of their class membership values which reflect the value of a discriminant function. The classification results of 32 classes of complex images are given. Compared to the K-NN and fuzzy K-NN algorithms, our method shows an improved classification rate for various conditions.

关键词： Nearest neighbor searches Neural networks computer science pattern classification Marine vehicles Telecommunications Equations pattern recognition

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Applying perceptual grouping to content-based image retrieval: building images

Applying perceptual grouping to content-based image retrieva...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Q. Iqbal J.K. Aggarwall Computer and Vision Research Center Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA University of Texas at Austin Austin TX US

This paper presents an application of perceptual grouping rules for content-based image retrieval. The semantic interrelationships between different primitive image features are exploited by perceptual grouping to detect the presence of manmade structures. A methodology based on these principles in a Bayesian framework for the retrieval of building images, and the results obtained are presented. The image database consists of monocular grayscale outdoor images taken from a ground-level camera.

关键词： Image retrieval Content based retrieval computer vision Psychology Application software Image databases Humans Gray-scale Cameras Information retrieval

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Visual recognition of multi-agent action using binary temporal relations

Visual recognition of multi-agent action using binary tempor...

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conference on computer vision and pattern recognition (cvpr)

作者： S.S. Intille A.F. Bobick Perceptual Computing Group MIT Media Laboratory Cambridge MA USA

A probabilistic framework for representing and visually recognizing complex multi-agent action is presented. Motivated by work in model-based object recognition and designed for the recognition of action from visual evidence, the representation has three components: (1) temporal structure descriptions representing the temporal relationships between agent goals, (2) belief networks for probabilistically representing and recognizing individual agent goals from visual evidence, and (3) belief networks automatically generated from the temporal structure descriptions that support the recognition of the complex action. We describe our current work on recognizing American football plays from noisy trajectory data.

关键词： Uncertainty Object recognition Surveillance Laboratories Marine vehicles Trajectory computer vision Large-scale systems Research and development Contracts

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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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pattern recognition combining de-noising and linear discriminant analysis within a real world application 8th

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8th International conference on computer Analysis of Images and patterns, CAIP 1999

作者： Roth, Volker Steinhage, Volker Schröder, Stefan Cremers, Armin B. Wittmann, Dieter Institut für Informatik Römerstrasse 164 BonnD-53117 Germany Institut für landwirtschaftl Zoologie und Bienenkunde Melbweg 42 BonnD-53127 Germany

ISBN: (纸本)3540663665

computer aided systems based on image analysis have become popular in zoological systematics in the recent years. For insects in particular, the difficult taxonomy and the lack of experts greatly hampers studies on conservation and ecology. This problem was emphasized at the UN conference of Environment, Rio 1992, leading to a directive to intensify efforts to develop automated identification systems for pollinating insects. We have developed a system for the automated identification of bee species which employs image analysis to classify bee forewings. Using the knowledge of a zoological expert to create learning sets of images together with labels indicating the species membership, we have formulated this problem in the framework of supervised learning. While the image analysis process is documented in [5], we describe in this paper a new model for classification that consists of a combination of Linear Discriminant Analysis with a de-noising technique based on a nonlinear generalization of principal component analysis, called Kernel PCA. This model combines the property of visualization provided by Linear Discriminant Analysis with powerful feature extraction and leads to significantly improved classification performance. © Springer-Verlag Berlin Heidelberg 1999.

关键词： Image analysis

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Edge detector evaluation using empirical ROC curves

Edge detector evaluation using empirical ROC curves

引用

conference on computer vision and pattern recognition (cvpr)

作者： K. Bowyer C. Kranenburg S. Dougherty Department of Computer Science and Engineering University of South Florida Tampa FL USA

A method is demonstrated to evaluate edge detector performance using receiver operating characteristic curves. It involves matching edges to manually specified ground truth to count true positive and false positive detections. Edge detector parameter settings are trained and tested on different images, and aggregate test ROC curves presented for two sets of 10 images. The performance of eight different edge detectors is compared. The Canny and Heitger detectors provide the best performance.

关键词： Detectors Image edge detection Image sampling Hysteresis computer science computer vision Humans Materials testing Packaging Web pages

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Color edge detection with the compass operator

Color edge detection with the compass operator

引用

conference on computer vision and pattern recognition (cvpr)

作者： M.A. Ruzon C. Tomasi Computer Science Department University of Stanford Stanford CA USA

The compass operator detects step edges without assuming that the regions on either side have constant color. Using distributions of pixel colors rather than the mean, the operator finds the orientation of a diameter that maximizes the difference between two halves of a circular window. Junctions can also be detected by exploiting their lack of bilateral symmetry. This approach is superior to a multi-dimensional gradient method in situations that often result in false negatives, and it localizes edges better as scale increases.

关键词： Image edge detection Detectors Convolution Colored noise Color computer science Gradient methods Noise robustness Distributed computing Multispectral imaging

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