In this paper, we exploit some previous theoretical results about decision tree pruning to derive a color segmentation algorithm which avoids some of the common drawbacks of region merging techniques. The algorithm ha...
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ISBN:
(纸本)0769512720
In this paper, we exploit some previous theoretical results about decision tree pruning to derive a color segmentation algorithm which avoids some of the common drawbacks of region merging techniques. The algorithm has both statistical and computational advantages over known approaches. It authorizes the processing.of 512/spl times/512 images in less than a second on conventional PC computers. Experiments are reported on thirty-five images of various origins, illustrating the quality of the segmentations obtained.
Presents a newly developed segmentation algorithm, based on k-NN statistical patternrecognition rule. This algorithm uses arbitrary surface description as the primitive and can be described as a region growing method.
Presents a newly developed segmentation algorithm, based on k-NN statistical patternrecognition rule. This algorithm uses arbitrary surface description as the primitive and can be described as a region growing method.
This paper addresses the problem of calibrating camera lens distortion, which can be significant in medium to wide angle lenses. Our approach is based on the analysis of distorted images of straight lines. We derive n...
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ISBN:
(纸本)0769512720
This paper addresses the problem of calibrating camera lens distortion, which can be significant in medium to wide angle lenses. Our approach is based on the analysis of distorted images of straight lines. We derive new distortion measures that can be optimized using non-linear search techniques to find the best distortion parameters that straighten these lines. Unlike other approaches, we also provide fast, closed-form solutions to the distortion coefficients. Experiments to evaluate the performance of this approach on synthetic and real data are reported.
The paper presents a fast and robust algorithm to identify text in image or video frames with complex backgrounds and compression effects. The algorithm first extracts the candidate text line on the basis of edge anal...
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ISBN:
(纸本)0769512720
The paper presents a fast and robust algorithm to identify text in image or video frames with complex backgrounds and compression effects. The algorithm first extracts the candidate text line on the basis of edge analysis, baseline location and heuristic constraints. Support Vector Machine (SVM) is then used to identify text line from the candidates in edge-based distance map feature space. Experiments based on a large amount of images and video frames from different sources showed the advantages of this algorithm compared to conventional methods in both identification quality and computation time.
Face recognition has established itself as an important subbranch of patternrecognition within the field of computer science. Many state-of-the-art systems have focused on the task of recognizing frontal views of peo...
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Face recognition has established itself as an important subbranch of patternrecognition within the field of computer science. Many state-of-the-art systems have focused on the task of recognizing frontal views of people. We present an approach for recognizing profile views (90/spl deg/) with a system trained on transformed frontal views. The system combines an artificial neural network (ANN) and a classification process based on hidden Markov models (HAM). One of the main ideas of this system is to perform the recognition task without the use of any 3D-information of heads and faces. The presented system has been tested with subsets of the FERET and the MUGSHOT databases.
In order to analyze images for detecting and characterizing biomedical areas physicians are interested in, several patternrecognition procedures are available, but their value is constrained by the particular case ta...
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ISBN:
(纸本)9539676940
In order to analyze images for detecting and characterizing biomedical areas physicians are interested in, several patternrecognition procedures are available, but their value is constrained by the particular case taken in examination. The paper gives some suggestions for the choice.
In this paper proposed a new mixture of expert algorithm to improve the recognition rate of online Morse code automatic recognition system. From three person tests, the neural network has the average recognition rate ...
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In this paper proposed a new mixture of expert algorithm to improve the recognition rate of online Morse code automatic recognition system. From three person tests, the neural network has the average recognition rate up to 94.4%. The mixture of experts neural network has successfully overcome the difficulty of analyzing severely unstable Morse code time series.
We address the problem of finding point correspondences in images by way of an approach to template matching that is robust under affine distortions. This is achieved by applying "geometric blur" to both the...
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ISBN:
(纸本)0769512720
We address the problem of finding point correspondences in images by way of an approach to template matching that is robust under affine distortions. This is achieved by applying "geometric blur" to both the template and the image, resulting in a fall-off in similarity that is close to linear in the norm of the distortion between the template and the image. Results in wide baseline stereo correspondence, face detection, and feature correspondence are included.
Wavelet analysis and its applications have become one of the fastest growing research areas in the recent years. This is in part attributed to the pioneering work by the researchers as well as practitioners in the fie...
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A natural sequel to edge detection is the interpretation of edges. This interpretation can provide useful information to various computer vision processes, including recognition, reconstruction, and tracking. In this ...
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ISBN:
(纸本)0769512720
A natural sequel to edge detection is the interpretation of edges. This interpretation can provide useful information to various computer vision processes, including recognition, reconstruction, and tracking. In this paper we consider the problem of identifying occlusion edges in a single image. We examine the appearance of occlusion edges under variable illumination, both analytically and empirically, and find that the pattern of shading in the neighborhood of occlusion edges is a stable feature. Finally, we derive a filter for detecting occlusion and present the results of its application.
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