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This paper aims to develop an effective flower classification approach using the technology of feature extraction. With this regard, a fused descriptor based on Pyramid Histogram of Visual Words (PHOW) is used to extract the color, texture and contour information of flower image. Secondly, Dictionary Learning and Locality-constrained Linear Coding (LLC) are operated on PHOW feature and then images...
A considerable amount of research work has been done for facial expression recognition using local or global feature extraction methods. Weber Local Descriptor (WLD), a simple and robust local image descriptor, is recently developed for local feature extraction. In facial expression recognition, the information contained in the local is important for the recognition result. The Histograms of Oriented...
Pedestrian detection by camera sensor is an important function in intelligent vehicle. Histograms of Oriented Gradients (HOG) features is a kind of efficient pedestrian feature. We optimized the HOG features to achieve an accurate human detection system. We don't normalize the input detection windows but resize the cell and block by same ratio. In the processing of calculate the HOG features, the...
We propose a simple approach to fast extract the main text content from Web pages, especially online news pages. Most existing approaches need to construct the DOM tree structure from the HTML source of the Web page first, and then, extract the important content by pruning/merge the DOM branches/sub-trees. Such DOM tree processing tasks are very time-consuming. Our solution processes the HTML source...
This paper proposed a parallel particle filter algorithm with the help of GPU (Graphic Processing Unit) in face tracking. Due to illumination and occlusion problems, face tracking usually does not work stably based on a single cue. Three different visual cues, color histogram, edge orientation histogram and wavelet feature, are integrated under the framework of particle filter to improve the tracking...
Salient region of the image, which is composed of salient or interest points, is the most informative part of the image. In this paper, a saliency-based bottom-up visual attention computational model motivated by visual physiological experimental results is used to detect salient region and extract salient points of images. Meanwhile, a method to select number of the salient points to be extracted...
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