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Therefore, this study focuses on developing a new texture-based approach for text detection that takes advantage of deep learning models. The semantic parts provide a general representation across object categories, which allows to reduce the grasping hypotheses. This algorithm allows relative pose recovery at the expense of a much higher computational time when dealing with higher ratios of outliers. Then the proposed method is applied in order to segment and label the plant leaves, i. Techniques developed in the past have generally performed poorly in highly congested scenes with several thousands of people in frame Rodriguez et al. The experimental study illustrates promising results of the proposed deblurring method compared to the well-known state-of-the-art methods. Since these object detection oriented features are complementary to features from entire images, the performance of video semantic indexing can be further improved.
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Re: Non-Discoverability or Non-Existence?

A global search is particularly justified in video denoising, where a strong temporal redundancy is often available. The approach is promising in its ability to adaptively provide an initial intensity based segmentation for further processing without the burden of supervised learning. But for some other applications such as multimodal image comparison infra-red versus color, color versus depth, By this linear representation, linear estimation of object shape achieved even if obtained images are taken under close light sources. Hegre-Art The award winning photography and cinema of Petter Hegre presents exquisite women from all over the world.
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In order to reach fully autonomous navigation, a precise understanding of the vehicle surroundings is required. The next step consists of characterizing the obtained regions with local RGB color and a number of local color texture descriptors using image quantization. A connection with a ground station is thus unnecessary which makes the UAV fully autonomous. Alternative guiding systems such as electromagnetic navigation require specific equipment, increase the cost of the clinical procedure and still require fluoroscopy. However, it is difficult to detect pedestrians from a low-resolution sparse point-cloud obtained by a low-resolution LIDAR. These features are used to model image similarities, which again are used to build a hierarchical image graph.
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Compared with a generic pedestrian detector and the state-of-the-art methods, our proposed framework presents encouraging results. In this paper we address the detection of micro and full-expression with a common facial model characterizing facial movements by means of consistent Optical Flow estimation. We present a general model for multi-class segmentation of multi-channel digital images. Pedestrian Analysis and Counting System with Videos. In this paper, we propose a botanical approach for tree species classification through automatic bark analysis. Experimental results show that both methods have similar accuracy rate and the computational time is a decisive factor, where Subsequence Dynamic Time Warping achieves faster results.
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