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Heat Kernel Signature (HKS) is a powerful tool for shape analysis for its multi useful properties and has been successfully used in many correspondence tasks. However, the shape's feature detection is an empirical way since HKS depends on the time scale, which is not the intrinsic property of the shape. In order to eliminate the effects of time ambiguity, a novel HKS based feature extraction algorithm...
Surveillance means is a system that monitors the behavior, activities, or other changing information, usually it is used to recognize the people for the purpose of security issues in society. This paper aims to propose a novel approach based on sensor data acquired by an optical system for the purpose of human identification. Three joints of the human body, such as the hip, knee, and ankle joint have...
Segmentation is one of the most challenging problems in the field of medical image analysis, and blood vessels are especially difficult to extract. In this paper, we propose a novel method for segmentation of cerebral blood vessels from magnetic resonance angiography (MRA) images based on Frangi's vesselness measure and ball B-Spline. First, we apply Frangi's vesselness measure to find putative centerlines...
Content-based music information retrieval (CBMIR) has rapidly become a research focus for the areas of computer science, information retrieval, signal processing, audio processing and pattern recognition. Feature selection, representation and matching mechanism play the crucial roles in CBMIR. A new mechanism of similarity comparison has been proposed in this paper. Melody feature is represented in...
This paper proposes a novel algorithm for image feature extraction and dimension reduction, namely, the bilateral two-dimensional locality preserving projections (B2DLPP). Different from the traditional LPP based approaches, B2DLPP is based on 2D image matrices rather than column vectors so the image matrix does not need to be transformed into a long vector before feature extraction. The advantage...
Face sketch synthesis with a photo is challenging due to that the psychological mechanism of sketch generation is difficult to be expressed precisely by rules. Current learning-based sketch synthesis methods concentrate on learning the rules by optimizing cost functions with low-level image features. In this paper, a new face sketch synthesis method is presented, which is inspired by recent advances...
A novel face recognition method is proposed in this paper to alleviate the "Small Sample Size" problem of the conventional Linear Discriminant Analysis (LDA). This method is based on the feature extraction of global odd and even face image representation, and a dimension reduction process via Symmetrical 2D Partial Least Square Analysis (2DPLS) by two sizes. The low-dimensional features...
In this paper, we present a music information retrieval system which enables users to retrieve music by vocal query. Three essential components are query processing, database construction by MIDI and an approximate search engine. For query processing, we have achieved a real-time and robust voice-to- melody converter. For database construction, proposed MIDI analysis methods to obtain music melody...
Feature selection is an important application in the field of Chinese text categorization. However, the traditional Chinese feature selection methods are based on conditional independence assumption; therefore there are many redundancies in feature subsets. In this paper a combined feature selection method of Chinese text is proposed and this method is designed by the regularized mutual information...
Contour curves matching technique was researched for mosaicing 3D broken objects. Method of 3D curves matching based on direction angles of junctions was presented. Contour curves were filtered and re-sampled. The feature vectors of contour curves were represented by direction angles of junctions on contour curves. Similarity between two contour curves was determined by comparing feature vectors of...
This paper proposes a method of retrieval a music information by a voice or whistling clip. The method is based on the content of the music file. Firstly, extract the pitch as a kind of musical feature form the digital clip file, and then fix and smooth the discrete data. Bring forward a novel melody contour representation method to depict the musical feature properly. At last, adopt an improved LCS...
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