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Wavelets are widely used to extract the texture features for pattern recognition applications including biometric authentication. This can be attributed to the discriminating capability of wavelet features and the availability of fast algorithms for implementing discrete wavelet transform (DWT). In most of the wavelet based palmprint applications, distribution of energies in space-frequency domain...
Recently there has been considerable interest in topic models based on the bag-of-features representation of images. The strong independence assumption inherent in the bag-of-features representation is not realistic however: patches often overlap and share underlying image structures. Moreover, important information with respect to relative scales of the features is completely ignored, for the sake...
Graphical models have been shown to provide a natural framework for modelling high level action transition constraints, and to simultaneously segment and recognize a sequence of actions. Spatio-temporal interest points (STIPs) have been proposed as suitable features for action detection. These interest points are typically mapped to a set of codewords, and actions are detected by accumulating the...
This paper describes a method of generating of a visual summary from archived news video that clearly shows a topic shared by several news items. To grasp the whole topic, recognizing each news item at a glance and the flow of the news items from several viewpoints is an essential and needed. Our method represents a news item with several representative images and pieces of text, and it presents three...
In multi-camera surveillance systems, it is important to track the same person across multiple cameras. It is also desirable to recognize the individuals who have been previously observed in a single-camera system. The method that represents a object image using a bag of visual words has been commonly used in image retrieval applications. For recognizing people, it can outperform the methods mainly...
There is a growing interest in subspace discriminative feature extraction techniques based on tensor (multilinear) representation, which encodes an image object as a general tensor of second or even higher order. However, on one hand the computational convergence of its iterative algorithms is not guaranteed, on the other these methods are impractical for real-time applications for large training...
Compact, robust and meaningful representations of face images are crucial to the performance of any face recognition system. In this paper, we present a novel method for robust face representation based on Probability Latent Semantic Analysis (PLSA), a generative model originated from the field of text-processing. Specifically, each of face images is treated as a document consisted of a bag of visual...
Extracting structure information from decorative character images is a challenging problem in the field of character recognition. The structure information of a decorative character image can be represented by a graph. However, the topologies of graphs are different even if they are the ones of the same character, because of various decorations. In this paper, we propose a method to extract a representative...
Soil erosion is one of the most typical natural disasters in China. However, due to the limitation of current technology, the investigation of soil erosion through remote sensing images is currently by human beings manually which depends on human interpretation and interactive selection. The work burden is so heavy that errors are usually inevitably unavoidable. This paper proposes the technique of...
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,...
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...
Data compression is always advisable when it comes to handling and processing information quickly and efficiently. There are two main problems that need to be solved when it comes to handling data; store information in smaller spaces and processes it in the shortest possible time. When it comes to face recognition tasks, there is always the need to construct large image repositories from people. Images...
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...
Vision information processing is important for robots that act in human-interactive environments. In this paper, we propose to acquire visual representation of robot body and object that is suitable for motion learning in a bottom-up manner. An advantage of the proposed framework is that it does not require specific hand-coding depending on the visual properties of objects or the robot. A subtraction...
Content based image retrieval (CBIR) systems aim to provide a means to find pictures in large repositories without using any other information except its contents usually as low-level descriptors. Since these descriptors do not exactly match the high level semantics of the image, assessing perceptual similarity between two pictures using only their feature vectors is not a trivial task. In fact, the...
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...
Improving the computational efficiency of image processing tasks has become a dominant issue with the ultimate goal of real-time processing. One solution to improve efficiency is the use of a hexagonal image representation and we present an approach to feature extraction on hexagonal images using an edge map pyramid approach that further reduces the computational cost. The efficient performance of...
Diffusion tensor imaging (DTI) provides unique information about the underlying tissue structure of brain white matter in vivo, including both the geometry of fiber bundles as well as quantitative information about tissue properties as characterized by measures such as tensor orientation, anisotropy, and size. Our objective in this paper is to evaluate the utility of shape representations of white...
In this paper we propose a gesture perception algorithm using compact one-dimensional representation of spatio-temporal motion-field patches. At the learning stage, motion-field patches are randomly extracted and stored as templates. When generating feature vectors for video sequences, we compare stored templates with video, calculate maximum similarities and save those values as elements of feature...
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