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Compared to color and texture, contour is closer to human vision. So contour-based image retrieval has been a hot topic. However, existing methods can't obtain object contour effectively, which makes contour description and matching more difficult. To address these problems, this paper uses KPAC (Kernel-based Parametric Active Contour) to obtain the object contour, and proposes a novel method called...
Since most local descriptors of shape are not scale invariant, we usually make the line drawings or object contours in an image database the same size through scale normalization, before applying shape recognition procedures. Drawings produced by scale normalization are suitable for such descriptors if the whole of the original drawings are similar in shape. They are, however, not suitable if parts...
An elastic graph matching algorithm using biologically inspired features is proposed for the recognition of hand postures. Each node in the graph is labeled using an image feature extracted using the computational model of the ventral stream of visual cortex. The graph nodes are assigned to geometrically significant positions in the hand image, and, the model graphs are created. Bunch graph method...
Due to different imaging conditions, a fingerprint image may suffer from problems like translation, rotation, scaling and elastic distortion. A fingerprint recognition algorithm should address these problems for efficiency. One solution is to uniquely detect a reference point and align the fingerprint image based on the detected reference point. Accurate estimation of reference point is one of the...
In this paper, we present a novel 3D model alignment method by analyzing the voxels of 3D meshes and a visual similarity based 3D model matching and retrieving method using active tabu search. Firstly, each 3D model is voxelized and applied voxels based PCA transformation, then it is represented by six depth images which are projected by rendering in the PCA coordinate system. Hybrid descriptors are...
A dense point-based registration is an ideal starting point for detailed comparison between two neuroanatomical objects. This paper presents a new algorithm for global dense point-based registration between anatomical objects without assumptions about their shape. We represent mesh models of the surfaces of two similar 3D anatomical objects using a Markov Random Field and seek correspondence pairs...
This paper presents a new model for capturing spatial information for object categorization with bag-of-words (BOW). BOW models have recently become popular for the task of object recognition, owing to their good performance and simplicity. Much work has been proposed over the years to improve the BOW model, where the Spatial Pyramid Matching (SPM) technique is the most notable. We propose a new method...
In this paper we derive novel surface fiducial points that are computed from the differential geometry of the surface. The fiducial intrinsic points are intrinsic, local, and relative invariants, i.e., they are preserved under similarity, affine, and nonlinear transformations that are piecewise affine. As the fiducial points are computed from high order surface shape derivatives, their sensitivity...
This paper presents an intuitive method for synthesizing videos by directly manipulating video objects without using 3D models. The proposed method extracts a video object from each video frame and creates locally consistent video sequences using a 2D motion graph, where its node corresponds to the extracted video object and its edge represents a motion transition between a pair of nodes. Our primary...
In this paper, we propose a novel region grouping approach to shape matching. It is proposed as an alternative region based approach to the traditional edge based shape matching using distance transforms. It has the advantage of obtaining a higher detection rate and obtaining meaningful object segmentation simultaneously. Each image is first segmented into image regions, and possible matches are found...
We present a method for off-line reading of cursive handwriting, which derives from modelling handwriting as a complex movement. The method includes a step for recovering the writing order from static images of handwriting, a segmentation algorithm that decomposes the “unfolded” ink into strokes, an ink matching step to compare the ink of the unknown handwriting with those of a set of reference words,...
Handwriting-gesture recognition has been widely implemented in handwriting input application. Usually, gestures are used to conduct edit operations or be set as short-cut of an application. In this paper, we compare several handwriting-gesture recognition methods, and address their different user cases. These methods include pixel-matching method, rule based method and discriminant-function based...
In this paper we present a method to automatically introduce temporal consistency into a sequence of meshes reconstructed from multi-view video. We combine a number of advantages of previous work to produce a robust algorithm. Our approach uses SIFT features in each camera view combined with geometric information to produce accurate frame to frame correspondence. Coupling this with both volumetric...
Recently great progress has been made in the field of region detecting and matching. However, an extra step, fitting the irregular regions into fixed shapes, must be implemented in advance when constructing these descriptors on irregular regions. This shape fitting step can cause great errors, and thus will result in poor matching. In this paper, a method for irregular regions automatic matching is...
Spectral graph theory is widely used in Pattern Recognition and Image Processing. It has found a wide range of applications ranging from clustering, to dimension reduction, or image representation. Spectral analysis for image registration raises however some challenges are seldom addressed in the literature. The difficulty stems from the fact that the eigenspectrum and eigenspace of the Laplacian...
Image-based License Plate Recognition (LPR) algorithms are the core modules of many Intelligent Transportation Systems (ITS). Different algorithms and approaches have been proposed so far. All of these methods have the following three steps in common: License Plate Localization, Character Segmentation & Character Recognition. There are many real-world issues encountered during the design of each...
In this paper, we propose a new method for correcting the depth image, which was obtained by applying a matching scheme to stereo images and often includes parts with large error, based on the sparsity of depth image. When the depth image is obtained by a stereo matching, a small pixel correspondence error causes large estimation errors in the depth image. Also, original depth image can be considered...
A novel approach is introduced to detect object from scrambled background. Firstly, Point-pair Set is constructed by filtrating points with similar curvature; then similar Segment-pair Set is established through searching similar segment skeleton in Point-pair Set; finally, optimal transformation is selected from the Segment-pair Set using scoring function to determine the optimal matching. Experiments...
In this paper, we present a keyword extraction methodology from handwritten Chinese document image based on matching and voting of the local topological structure. In the process, a handwritten keyword image is used as template, from which the local topological structure features of each character pixel are extracted, including crossing number, direction angle, gravity direction and gravity distance...
Vector feature matching method is one of the key techniques in data updating. In this paper, disadvantages of existed methods have been analyzed, and a matching method of polygon shapes based on tangent space has been proposed. This method has also combined with discrete curve evolution algorithm to improve the efficiency of matching shape, which can simplify the complexity of polygons . And the paper...
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