Image Matting is the key technology in image processing, video editing, and film-making applications. With the fast development of modern information technology, image matting has gained increasing interests from both...
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ISBN:
(纸本)9781479927456
Image Matting is the key technology in image processing, video editing, and film-making applications. With the fast development of modern information technology, image matting has gained increasing interests from both academic and industrial communities. So what is Image Matting? And, What's the Role of Image Matting in Image Segmentation? In this paper, we will try to give a comprehensive and constructive answer to the above questions.
One of the methods for object recognition is based on graph embedding. By representing objects expressed as graphs into the vector space, this technique makes it possible to use point matching algorithms as opposed to...
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One of the methods for object recognition is based on graph embedding. By representing objects expressed as graphs into the vector space, this technique makes it possible to use point matching algorithms as opposed to costly graph matching approaches. In this paper, representatives of object classes in the vector space is obtained through graph embedding. To classify a query, instead of using exhaustive search, a more effective way of comparing it to class representatives is employed. Experimental results demonstrate that the proposed work compares favorably to alternative approaches in a set of object recognition experiments.
This paper presents a novel Matching Propagation Framework for addressing the problem of finding better matching pairs between each two images, which is one of the most fundamental tasks in computervision and pattern...
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ISBN:
(纸本)9781479927456
This paper presents a novel Matching Propagation Framework for addressing the problem of finding better matching pairs between each two images, which is one of the most fundamental tasks in computervision and patternrecognition. We first select initial seed points by original matching method like SIFT, and then use T-CM to explore more seed points. Finally, a triangle constraint based quasi-dense algorithm is adopted to propagate better matches around seed points. The experimental evaluation shows that our method can get a more precise matching result than classical quasi-dense algorithm. And the 3D reconstruction of the scene from our method has a good visual effect. Both experiments demonstrate the robust performance of our method.
In this work, the large planar scene is reconstructed from small images. Small images can be consecutive video frames or sequence of photographs. In the problem, called mosaicing, instead of using widely used optimiza...
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In this work, the large planar scene is reconstructed from small images. Small images can be consecutive video frames or sequence of photographs. In the problem, called mosaicing, instead of using widely used optimization based methods, probabilistic methods are used in the proposed method. Simultaneous Localization And Mapping(SLAM) techniques are adapted for video mosaicing. Probabilistic measures for the landmark locations are used to merge small images to create large scene. Experimental tests give promising results if the performance-complexity is considered at the same time.
Investigated the relationship between change over time in severity of depression symptoms and facial expression. Depressed participants were followed over the course of treatment and video recorded during a series of ...
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ISBN:
(纸本)9781467355452
Investigated the relationship between change over time in severity of depression symptoms and facial expression. Depressed participants were followed over the course of treatment and video recorded during a series of clinical interviews. Facial expressions were analyzed from the video using both manual and automatic systems. Automatic and manual coding were highly consistent for FACS action units, and showed similar effects for change over time in depression severity. For both systems, when symptom severity was high, participants made more facial expressions associated with contempt, smiled less, and those smiles that occurred were more likely to be accompanied by facial actions associated with contempt. These results are consistent with the “social risk hypothesis” of depression. According to this hypothesis, when symptoms are severe, depressed participants withdraw from other people in order to protect themselves from anticipated rejection, scorn, and social exclusion. As their symptoms fade, participants send more signals indicating a willingness to affiliate. The finding that automatic facial expression analysis was both consistent with manual coding and produced the same pattern of depression effects suggests that automatic facial expression analysis may be ready for use in behavioral and clinical science.
Although studies on the palm recognition systems achieving are high performance ratios, hygiene problems in contact systems and change of hand pose in contactless systems were encountered. 3D recognition systems is pr...
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Although studies on the palm recognition systems achieving are high performance ratios, hygiene problems in contact systems and change of hand pose in contactless systems were encountered. 3D recognition systems is proposed for solve these problems. But, these systems did not find the opportunity to become widespread because of expensive technologies and low scanning speed. In this study was proposed a method for determined pose variations of palmprint using stereo cameras and transferring patterns that to be used for recognition to 2D space. Thus, both a non-contact system will be obtained and can be used properties of strong 2D recognition systems.
The diffusion of powerful mobile devices has posed the basis for new applications implementing on the devices (which are embedded devices) sophisticated computervision and patternrecognition algorithms. This paper d...
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The diffusion of powerful mobile devices has posed the basis for new applications implementing on the devices (which are embedded devices) sophisticated computervision and patternrecognition algorithms. This paper describes the implementation of a complete system for automatic recognition of places localized on a map through the recognition of significant signs by means of the camera of a mobile device (smartphone, tablet, etc.). The paper proposes a novel classification algorithm based on the innovative use of bag-of-words on ORB features. The recognition is achieved using a simple yet effective search scheme which exploits GPS localization to limit the possible matches. This simple solution brings several advantages, such as the speed also on limited-resource devices, the usability also with limited training samples and the easiness of adapting to new training samples and classes. The overall architecture of the system is based on a REST-JSON client-server architecture. The experimental results have been conducted in a real scenario and evaluating the different parameters which influence the performance.
This paper presents a new approach to detect and remove the shadows for workpiece localization, which is with an extensive application in automatic assembly system. However, the shadows of workpiece will badly affect ...
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ISBN:
(纸本)9781479927456
This paper presents a new approach to detect and remove the shadows for workpiece localization, which is with an extensive application in automatic assembly system. However, the shadows of workpiece will badly affect this procedure as the contour of the shadow has the same shape with the workpiece itself in the image. The localization system treats the shadow as a part of the workpiece and make incorrect decision. So removing the shadow in the image before localization is meaningful. Our approach use CAD model to estimate the pose of workpiece, and the contour of object can be drawn in the image. Gray and texture features are used to detect and remove the shadow around the workpiece, and the workpiece is localized without the disturbance of the shadow in image. Experiments have been designed and performed. The experimental results demonstrate the effectiveness of the proposed method.
In this paper, a pedestrian detection system which uses sliding window approach to detect pedestrians in still digital images is presented. The proposed pedestrian detection system combines weak classifiers in an Adab...
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In this paper, a pedestrian detection system which uses sliding window approach to detect pedestrians in still digital images is presented. The proposed pedestrian detection system combines weak classifiers in an Adaboost like novel way to create a strong classifier. Besides, rectangle ratios and discrete cosine transform coefficients are used as features with the well-known rectangle differences method.
Video-based face recognition has attracted a great deal of attention in recent years due to its wide applications. The challenge of video-based face recognition comes from several aspects. First, video data involves m...
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ISBN:
(纸本)9781479913329
Video-based face recognition has attracted a great deal of attention in recent years due to its wide applications. The challenge of video-based face recognition comes from several aspects. First, video data involves many frames, which increases data size and processing complexity. Second, key frames extracted from videos are usually of high intra-personal discrepancy due to variations in expressions, poses, and illuminations. In order to address these problems, we propose a novel semantic based subspace model to improve the performance of video based face recognition. The basic idea is to construct an appropriate low-dimensional subspace for each person, upon which a semantic model is built to classify the key frames of the person into specific class. After the semantic classification, the key frames belonging to the same classes, i.e. the same semantics, are used to train the linear classifiers for recognition. Extensive experiments on a large face video database (XM2VTS) clearly show that our approach obtains a significant performance improvement over the traditional approaches.
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