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In this paper, we propose a novel approach to incorporate structure knowledge into Convolutional Neural Networks (CNNs) for articulated human pose estimation from a single still image. Recent research on pose estimation adopt CNNs as base blocks to combine with other graphical models. Different from existing methods using features from CNNs to model the tree structure, we directly use the structure...
Terrain classification is one of the most important applications of the polarimetric SAR (PolSAR) data. Although many effective methods have been proposed, it is still a hot issue. This paper proposes a novel algorithm using deep convolutional networks (ConvNets) for PolSAR data classification. This algorithm is validated by AirSAR data over San Francisco and ALOS-PALSAR2 data over Shanghai Hengsha...
A novel multiscale phase congruency (MPC) based analysis method is proposed in this paper for edge saliency detection and non-salient region texture suppression. Several MPC maps are proposed to be merged. Gaussian function based center priors and threshold processing are applied for the final edge saliency map generation, which can effectively suppress the textures and the detailed edges of non-salient...
A novel stroke-based method to localize text in unconstrained natural scene images is proposed. Firstly, in order to improve the edge detection in tough situations where the texts are partially occluded or noisy, we use stroke width histogram as guidance to generate a series of superpixels. Secondly, we present a novel way of using distance transform and sobel operator to extract character skeleton...
Vector images are becoming more advanced and diffused on the Internet due to their unique characteristics over traditional raster images. As a W3C standard, SVG is a brand-new vector-based image format built on readable/searchable plain-text source code which inherited from XML technology, thus is suitable for Content-based image retrieval. CBIR is the application of computer vision to the image retrieval...
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