Texture is one of the most important visual characteristics for image analysis. Several texture feature extraction methods proposed in the literature agree in the use of statistical metrics of a filter bank output alo...
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ISBN:
(纸本)9780889868236
Texture is one of the most important visual characteristics for image analysis. Several texture feature extraction methods proposed in the literature agree in the use of statistical metrics of a filter bank output along local spatial regions. Among these, the most commonly used descriptors are those based in the combination of averages and standard deviations of the magnitude responses of the filter bank. In this paper, we are concerned withthe quantitative evaluation of the performance improvement associated to the combined use of average and standard deviation of energy values in comparison withthe only use of energy average values. Our results show that the performance improvement although not very large in average, is actually very significant for some kinds of textures.
Local Binary pattern (LBP) is a powerful texture descriptor for its tolerance against illumination changes and its computational simplicity. the basic LBP encodes 256 feature patterns in a 3×3 neighborhood, but n...
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In this paper, we introduce MMTrack, a hybrid single pedestrian tracking algorithm that puts together the advantages of descriptive and discriminative approaches for tracking. Specifically, we combine the idea of clus...
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this paper deals with a new registration method based on a specific level-line grouping. Because of its contrast-change invariance, our approach is an appropriate method for matching outdoor image sequences. Moreover,...
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Automatic facial expression recognition is a challenging problem in computervision, and has gained significant importance in applications of human-computer interaction. this paper presents a new appearance-based feat...
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We present a novel real-time computervision-based system for facilitating interactions between a single human and a multi-robot system: a user first selects an individual robot from a group of robots, by simply looki...
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In this paper, we present a vision-based framework to manipulate the augmented reality (AR) objects robustly in a marker-less AR system. It is known that one of the promising ways to develop a marker-less AR system is...
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this paper investigates the impact of camera separation on the performance of an H.264/AVC based stereo-vision video codec. To achieve this, the multi-frame referencing property of H.264/AVC has been employed and the ...
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ISBN:
(纸本)9780889868236
this paper investigates the impact of camera separation on the performance of an H.264/AVC based stereo-vision video codec. To achieve this, the multi-frame referencing property of H.264/AVC has been employed and the standard H.264/AVC reference software has been modified to support stereoscopic video coding. Experimental results were generated using two sets of wide baseline convergent multi-view test videos: Breakdancers and Ballet. To generate a set of synchronized stereo-videos from the same scene with different inter-camera angles, all possible camera pairs are generated and classified according to their inter-camera angles. the resulting sets of stereo videos are coded using a H.264/AVC based stereo-vision and simulcast coding schemes at different bitrates. Results indicate that the stereo-vision codec outperforms the simulcast coding by up to 3.9dB at lower inter-camera angles and it deteriorates as the inter-camera angle increases. Finally, a range of inter-camera angles for best use of either stereo-vision or simulcast coding is determined.
Besides the decorative purposes, vehicle manufacture logos can provide rich information for vehicle verification and classification in many applications such as security and information retrieval. Detection and recogn...
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ISBN:
(纸本)9783642123030
Besides the decorative purposes, vehicle manufacture logos can provide rich information for vehicle verification and classification in many applications such as security and information retrieval. Detection and recognition of vehicle manufacture logos are, however, very challenging because they might lack of discriminative features themselves. In this paper, we propose a method to detect vehicle manufacture logos using contextual information, i.e., the information of surrounding objects near vehicle manufacture logos such as license plates, headlights, and grilles. the experimental results demonstrate that the proposed method is more effective and robust than other methods.
All Han-based scripts (chinese, Japanese, and Korean) possess similar visual characteristics. Hence system development for identification of chinese, Japanese and Korean scripts from a single document page is quite ch...
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