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Hematocytes image segmentation is a practice of computer medical detection which is based on the medical characteristics of blood cells, the Computer Graphics, and Image Segmentation. In this paper, we have proposed a new color components' computing method on different color spaces for image segmentation based on blood cells biology, image and color features. First, original image is changed between...
Lipreading is applied to synthesize speech for the speech-impaired people. To get a higher recognition result, data fusion with weighting coefficients at feature level is used to integrate the lip information from different kinds of lip features. Experiments are carried out based on HMM with different states and Gaussian mixture component in a small database for speaker-dependent case. Experiment...
Aiming at the feature of the cavity microscopic image of the cross-section of Fiberboard, a new algorithm is proposed which can detect the image effectively and accurately. This algorithm used Otsu algorithm to segment the cavity from the microscopic image, then refined the cavity edge by using the GAP statistic model which was based on the difference in distribution function of grey-level. The experimental...
In this paper we compare data hiding techniques based on wavelet-like transform, viz., Slantlet transform, DD DT DWT and Complex Wavelet transforms, viz., DT CWT using wavelet based fusion method and thresholding method. The experimental results are compared with the existing method based on DWT. We observe that the proposed algorithms based on SLT and DT-CWT outperform the DWT in terms of visual...
Tracking multiple objects in surveillance scenarios involves considerable difficulty because of occlusions. We report a novel tracker - based on reliability tracking - that demonstrates superior performance under high degrees of occlusion. In our method, distinguishable features between the target and non-target are represented as the object's reliability. When the selected features are no longer...
Object tracking based on color feature often fails in a complex background. To deal with this problem, a particle filtering object tracking approach is proposed in this paper based on local binary pattern and color feature. Color histogram is the global description of targets in color image, while local binary pattern texture contains information of neighbor region texture in gray image. These two...
Multiview video will play a pivotal role in the next generation visual communication media services like three-dimensional (3D) television and free-viewpoint television. These advanced media services provide natural 3D impressions and enable viewers to move freely in a dynamic real world scene by changing the viewpoint. High quality virtual view interpolation is required to support free viewpoint...
Current telepresence systems, while being a great step forward in videoconferencing, still have important points to improve in what eye-contact, gaze and gesture awareness concerns. Many-to-many communications are going to greatly benefit from mature auto-stereoscopic 3D technology; allowing people to engage more natural remote meetings, with proper eye-contact and better spatiality feeling. For this...
Motion estimation as well as the corresponding motion compensation is a core part of modern video coding standards, which highly improves the compression efficiency. On the other hand, motion information takes considerable portion of compressed bit stream, especially in low bit rate situation. In this paper, an efficient motion vector prediction algorithm is proposed to minimize the bits used for...
We envision a conference room of the future where depth sensing systems are able to capture the 3D position and pose of users, and enable users to interact with digital media and contents being shown on immersive displays. The key technical barrier is that current depth sensing systems are noisy, inaccurate, and unreliable. It is well understood that passive stereo fails in non-textured, featureless...
This paper describes a novel fast mean shift algorithm based on a resampling technique with marked regular pyramid structure. This new method focuses on solving the problem of high calculation complexity when high data dimension or large data sets are involved in mean shift. By resampling the original image with marked regular pyramid structure, improved method reduces the number of pixels requiring...
In this paper, we consider the problem of spatial prediction based on sparse representations. Several algorithms dealing with this problem can be found in the literature. We propose a novel method involving a mixture of sparse representations. We first place this approach into a probabilistic framework and then derive a practical procedure to solve it. Comparisons of the rate-distortion performance...
Performance of a distributed video coding system depends, to a large extent, on the accuracy of joint source and side information distribution modeling. In this work we first examine a family of stationary joint distribution models. As one of our findings, we propose to use the double-Gamma model as an alternative to the widely adopted Laplace model, due to its superior performance. In addition, we...
This paper proposes an automatic color transfer method for processing images with complex content based on intrinsic component. Although several automatic color transfer methods has been proposed by including region information and/or using multiple references, these methods tend to become ineffective when processing images with complex content and lighting variation. In this paper, our goal is to...
In this paper, a new filtering technique addresses the disocclusions problem issued from the depth image based rendering (DIBR) technique within 3DTV framework. An inherent problem with DIBR is to fill in the newly exposed areas (holes) caused by the image warping process. In opposition with multiview video (MVV) systems, such as free viewpoint television (FTV), where multiple reference views are...
We present a new solution for real-time head pose estimation. The key to our method is a model-based approach based on the fusion of color and time-of-flight depth data. Our method has several advantages over existing head-pose estimation solutions. It requires no initial setup or knowledge of a pre-built model or training data. The use of additional depth data leads to a robust solution, while maintaining...
This paper proposes a novel face detection method that finds tiny faces located at a long range even with low-resolution input images captured by a moving robot. The proposed approach can locate extremely small-sized face regions of 12x12 pixels by combining the results from mean-shift color tracking, short- and long-range face detection, and omega shape detection. According to the experimental results...
As cameras become cheaper and gain popularity, vision-based input devices are highly desired and may now become a feasible solution. In this paper, a vision-based virtual piano mechanism is proposed. By tacking and analyzing the motion of the fingertips, the system can detect keystrokes and play the corresponding note on a seven-key virtual piano. Experimental results show the precision and efficiency...
We propose a new approach to visualize social networks. Most common network visualizations rely on graph drawing. While without doubt useful, graphs suffer from limitations like cluttering and important patterns may not be realized especially when networks change over time. Our approach adapts pixel-oriented visualization techniques to social networks as an addition to traditional graph visualizations...
This paper proposes the method that makes an input target image into exaggerated cartoon-like images by using reference images. To deform a target image, we extract feature points from a target image and define the feature point model on reference images. And then, we apply feature based warping method to this deformation. For our result be felt more cartoonish, we additionally apply the luminance...
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