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The quality of fingerprint image gathered from scanner was affected seriously by small area, range of gray-scale, dryness, wetness and deflection. The paper analyzed exiting detailed regulations, discussed the influence factors to fingerprint quality. A new method was proposed to estimate fingerprint image quality according to edge-minutiaes information. Experimental results show that it can filter...
A main challenge for texture analysis is to construct a compact texture descriptor which is not only highly discriminative to intra-class textures, but also robust to inter-class variations, geometric and photometric changes. In this paper, a new texture descriptor is developed by integrating the local affine-invariant texture features and the global viewpoint-invariant statistics. Based on the pixel...
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the background appearance variations under cast shadows. Based on the bi-illuminant (i.e. direct light sources and ambient illumination) dichromatic reflection model, we derive physics-based color features under the assumptions of...
In this paper, we propose a new re-coloring algorithm to enhance the accessibility for the color vision deficient (or colorblind). Compared to people with normal color vision, people with color vision deficiency (CVD) have difficulty in distinguishing between certain combinations of colors. This may hinder visual communication owing to the increasing use of colors in recent years. To address this...
This paper presents a physics-based approach capable of detecting cast shadows in video sequence effectively. We develop a new physical model of cast shadows without making prior assumption of the spectral power distribution (SPD) of the light sources and ambient illumination in the scene. The background appearance variation caused by cast shadows is characterized as the interaction of the blocked...
This paper proposes a new approach to detect the falling of the elderly based on intelligent space. The system can recognize the falling action by use of multi-sensor information in intelligent space. The detection system uses the image processing system to process images which captured from camera. After the silhouettes are obtained, we extract features that recognition falling needs. The surroundings...
An efficient objects identification method of intelligent space based on ceiling camera is proposed. First, the environment segmentation method is introduced, and we can get several labeled connected components. Then, a color-based Gaussian mixture model (GMM) method is used for recognizing the components as the objects accordingly. At last, the experiment shows the feasibility and efficiency of the...
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