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This paper proposes a novel gait recognition method based on fast shape matching algorithm. First, we propose a simple but effective gait cycle estimating method and analyze the periodic property of gait sequences. Each frame in the sequence is assigned a phase. Those frames with the same phase are averaged to clean noises. As a result, the original long sequence with dozens of frames is simply represented...
Locating landmark points plays an important role in applications related to human faces, such as registration of 3D faces, the deformation based on the fiducial points, and so on. We present a new form of three-dimensional shape representation based on the local projecting area, and suggest an algorithm of locating the landmark points with it. This representation is invariant to rotation and translation,...
The geometric shape of the human cerebral cortex is characterized by its complex and variable folding patterns. This pattern can be described at different scales from local scale such as curvature to global scale such as gyrification index or spherical wavelet. This paper presents a parametric folding pattern descriptor at the meso-scale of a cortical surface patch. The patch is represented by Bezier...
A new algorithm for apple shape classification using level set and motion estimation was proposed. At first, a standard class shape apple images database was construct by expert, and then the level set representations according to signed distance transforms were used, which are a simple, robust, rich and efficient way to represent shapes; second, the unknown shape class apple was aligned to the standard...
Texture synthesis and morphing are important techniques for efficiently creating realistic and visually attractive textures. A popular class of synthesis algorithm are pixel-based techniques, which search in a given 2D exemplar for a pixel with a similar neighbourhood to the pixel currently being generated. The methods have the advantage that they are fast, they can be easily generalised to higher...
Some types of biometric patterns can be represented as a collection of variable-length interconnected lines. This is the case of handwriting signature strokes, palmprint lines or infrared hand vein data. Typical variations in size, shape and orientation of these patterns for the same person make difficult to develop reliable biometric verification systems for them. Fuzzy snakes have been successfully...
Active appearance model (AAM) has been widely used for modeling the shape and the texture of deformable objects and matching new ones effectively. The traditional AAM consists of two parts, shape model and texture model. In the texture model, for the sake of simplicity, the image intensity is usually employed to represent the texture information. However, the intensity is easy to be interfered by...
This paper proposes generalized features of various handwriting in forensic documents for writer identification. In forensic documents, graphologies need to scrutinize, analyze and evaluate the features of suspected authors from questioned handwriting and compared these documents with the original handwriting. This is due to the uniqueness of the shape and style of handwriting that can be used for...
In this paper, we present a new posture classification system to analyze different human activities directly from video sequence. For well recognizing each posture of an activity, we propose an adaptation of Radon transform called R-transform, which is invariant to common geometrical transformations, to represent low-level features. The advantage of the R transform lies in its low computational complexity...
In this paper, a triangle area based boundary shape representation is proposed. By selecting three evenly spaced elements sequentially from a closed edge chain, the area of triangle is calculated. The Triangle Area Representation (TAR) is calculated by changing the spacing. The Bend direction of the edge determines the sign of the triangle. TARN and TARP are negative and positive extensions of TAR,...
Genetic screen has been facilitating molecular geneticists to analyze mutants that produce certain phenotypes. However traditional methods for behavioral phenotype screen of mutant Caenorhabditis elegans rely on human observers and therefore are subjective and imprecise. This work dedicates a model to quantify and analyze the worm behavior using automatically-tracking and time-coded images. We have...
Given information from many cameras, one can hope to get a complete 3D representation of an object. Pintavirooj and Sangworasil exploit this idea and present a system that records sequentially images from multiple view points to reconstruct a 3D shape of a static object of interest [1]. For instance, using a 60 angle of view on the image, they manage to get its accurate 3D reconstruction [1]. Unfortunately,...
Image category recognition is important to access visual information on the level of objects and scene types. This paper combines different feature representations of images and learn a compact subspace of different features for the automatic recognition of object and scene classes. Compact visual-words and low-level-features object class subspaces are automatically learned from a set of training...
Automatic facial landmark location is a difficult challenge for realistic face recognition applications, where the face is recorded under variable illumination conditions including indoor and outdoor recordings and also with some pose and scale variability. Moreover, the image distortion and complex background also bring some difficulty both for landmark location and face recognition. The proposed...
Active Shape Model (ASM) is a powerful statistical tool for image interpretation, especially in face alignment. In the standard ASM, local appearances are described by intensity profiles, and the model parameter estimation is based on the assumption that the profiles follow a Gaussian distribution. It suffers from variations of poses, illumination and expressions. In this paper, an improved ASM framework,...
A computational framework is presented for 3-D liver shape approximation and characterization in order to determine the accuracy of shape reconstruction via Spherical Harmonics expansion. Spherical Harmonics is a powerful mathematical tool for expanding the shape. But in medical domain, livers have very variation geometry, in shape, size, and volume. In this regards, we evaluated and optimized the...
Detection of different kinds of shapes, i.e. lines, circles, hyperbolas etc., in varying kinds of images arises in diverse areas such as signal and image processing, computer vision or remote sensing. The generalized Hough transform is a traditional approach to detect a specific shape in an image by transforming the problem into a parameter space representation. In this paper we use the observation...
In this paper we propose to extend the well known spherical harmonic descriptor (SHD) by adding an additional Fourier-like radial expansion to represent volumetric data. Having created an orthonormal basis on the ball with all the gentle properties known from the spherical harmonics theory and Fourier theory, we are able to compute efficiently a multi-scale representation of 3D objects that leads...
This paper describes a 3D shape model retrieval method that accepts, as a query, a 3D mesh obtained by a range scan from a viewpoint. The proposed method visually compares single depth map of the query with depth maps of a 3D model rendered from multiple viewpoints. Comparison of the depth maps employs bag-of local visual features extracted by using a modified version of Lowe's Scale-Invariant Feature...
We study the problem of robust pedestrian detection. A new descriptor, Pyramidal Statistics of Oriented Filtering (PSOF), is proposed for shape representation. Unlike one-scale gradient-based methods, the PSOF descriptor constructs an image pyramid and uses a Gabor filter bank to obtain multi-scale pixel-level orientation information. Then, locally normalized pyramidal statistics of these Gabor responses...
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