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Simulating, forecasting and displaying flood submergence range accurately and scientifically has important significance for flood control, flood fighting, flood assessment and disaster relief to provide decision support. This paper develops the Flood Submergence Analysis System using ArcEngine component library. The main functions of this system are as follows: generation of 3D terrain, display of...
Recovering 3D geometry from a single 2D line drawing is an important and challenging problem in computer vision. It has wide applications in interactive 3D modeling from images, computer-aided design, and 3D object retrieval. Previous methods of 3D reconstruction from line drawings are mainly based on a set of heuristic rules. They are not robust to sketch errors and often fail for objects that do...
This article describes a new dataset under construction at the Media Integration and Communication Center and the University of Florence. The dataset consists of high-resolution 3D scans of human faces from each subject, along with several video sequences of varying resolution and zoom level. Each subject is recorded in a controlled setting in HD video, then in a less-constrained (but still indoor)...
A comparative analysis of three important shape analysis techniques viz. real spherical harmonic (RSH) coefficient, shape signatures based on ray-tracing, and multi-resolution attributed contour tree (MACT) is performed to understand their strengths and weaknesses in terms of their shape description power and computational ability. The analysis is performed on anti-HIV ligands extracted from NCI database...
The accumulation of huge amount of biology data and their heterogeneity has become a bottleneck in the analysis of protein-protein interaction (PPI) networks, especially in the visualization of PPI networks. Because the format of the data generated from different experimental groups is diverse, and the databases for the storage and management of the data are different, network visualization of the...
Most automatic face recognition algorithms try to normalize facial images in order to remove variations caused by anything but the identity of the person. Lighting conditions being less problematic since the introduction of reliable and affordable depth sensors, head pose is the other great source of un-desired variations in facial images. In this paper, we describe recent state-of-the-art methods...
Extensive research has been conducted relating the natural scene statistics of luminance and depth; however, very little work has been done on analyzing the statistical relationships between depth and chromatic information. In this paper, we examine and derive statistical models between disparity and both luminance and chrominance information by transforming natural images into the more perceptually...
In this present work, we propose to define a novel surface registration approach using the generalized Hausdorff distance in the shape space. It is based on the selection of local and invariant points under the transformations of the 3D motion group. These points are selected from two level sets extracted from geodesic local coordinates with respect to a given reference. The optimal number of invariant...
This paper proposes an efficient technique to detect ear from 3D profile face range images and is invariant to rotation and scale. It makes use of graph connected components constructed using the edges of the depth map image of the range data for ear detection. It can detect left and right ears at the same time without imposing any additional cost or specific training. The technique has been tested...
This paper describes a fractal-based keypoint computation method for solid textures. Solid textures have been used for a number of years for various applications including medical imaging, geographical data analysis and biological data analysis. It is important to accurately compute pattern features from solid textures, because pattern features can be used for classifications, detections, and retrievals...
A motion gesture can be represented by a 3D spatial trajectory and maybe augmented by additional 3 dimensions of orientation. Depending on the tracking technology in use, the 6D motion gesture can be tracked explicitly with the position and orientation or implicitly with the acceleration and angular speed. In this work, we first present a motion gesture database which contains both explicit and implicit...
Since the very beginning of space exploration, cosmonauts have suffered from weight losses which need to be particularly monitored during long term missions in space stations to insure their health and well being. In 1965–6 Thornton successfully built a device able to measure the body mass of cosmonauts in the micro-gravity space environment using passive linear spring-mass oscillators. Since then,...
This work addresses the problem of real-time 3D shape based object class recognition, its scaling to many categories and the reliable perception of categories. A novel shape descriptor for partial point clouds based on shape functions is presented, capable of training on synthetic data and classifying objects from a depth sensor in a single partial view in a fast and robust manner. The classification...
The 2D face recognition systems encounter difficulties in recognizing faces with illumination variations. The depth map of the 3D face data has the potential to handle the variation in illumination of face images. For feature matching an efficient fuzzy-neural technique is proposed. This paper presents a new approach in which the depth maps of the 3D face images, containing the depth information of...
Measuring the similarity between articulated shapes is a fundamental yet challenging problem. This paper proposes a novel shape descriptor based on Width Distributions (WD), which is robust to articulations. We show that the width distributions are articulation insensitive yet descriptive to distinguish different shapes with varied part structures. With measurements on distributions only, the proposed...
According to the advancement of the medical science in recent years, Taiwan has come into the aging society. Due to the increase of elderly people, the requirement of wheelchair is increasing gradually. Therefore, we develop a system to increase the security of the wheelchair. This research is to configure sensors in a wheelchair for measuring the position and the operation of wheelchair users. If...
Image-based building reconstruction is a hot point in computer vision and computer graphics, but few works have done on reconstruction from a single image because it is an ill-conditional problem and is very difficult to resolve. In this paper, we present an efficient method by matching contours between image and projection of 3D models. Our method simplifies the reconstruction process and avoids...
The rapidly increasing volumes of structural data of proteins has led to need of algorithms which can rapidly predict functions for proteins based on structure. Similarity between protein structures can provide evidence of possible functional similarity. In this paper, an attempt is made to efficiently recognize similar protein structures in the protein database contain thousands of proteins. This...
This paper describes an effective method for detecting multiple symmetric objects in an image. A “pseudo-affine invariant SIFT” is used for detecting symmetric feature pairs in perspective images. Candidates of symmetric axes are estimated from every two symmetric feature pairs, and the one supported by the most symmetric feature pairs is detected as the most relevant symmetric axis of a symmetric...
Statistical learning methods for human detection require large quantities of training samples and thus suffer from high sample collection costs. Their detection performance is also liable to be lower when the training samples are collected in a different environment than the one in which the detection system must operate. In this paper we propose a generative learning method that uses the automatic...
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