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We present a signal-processing framework for image-assisted geometry measurement in the image-based rendering (IBR). We study the utilized geometry information and estimating minimum sampling rate of the IBR. Our method combines decomposing a complex scene geometry into a collection of simpler structures on a block-by-block basis. The automatic simpler structure selection can be interactively refined...
Single image dehazing with its ill-posted characteristics has been a popular challenge in low-level vision. In this paper, an alternative approach of solving a single hazy image is presented. Initially, we propose a new haze model in consideration of multiple scattering during light propagation. Compared with the traditional dichromatic atmospheric scattering model, our new model requires fewer restrictive...
This paper proposed an improved threshold function and threshold estimation method for analyzing the characteristics of the wavelet threshold denoising. Because hard threshold denoising makes boundaries fuzzy and soft threshold denoising has Gibbs phenomenon, the new threshold function and estimation method have better adaptive. Results show that the improved method can effectively remove the white...
The paper proposes the integration of a structure lighting system on a gantry to improve its flexibility, efficiency and accuracy of 3D reconstruction for face modeling. A method for the integrated system calibration to calculate the correspondences between the coordinate systems of the camera, the light source and the rotational axis is also proposed. Parameters obtained from calibration are used...
Learning and then recognizing a path is a challenging task for state of the art algorithms in computer vision and robotics. In this paper, we present a new approach to visual localization along a path. Classically visual paths have been described using keyframes, single images taken at specific locations. Our method uses all the images of a path segment, Gabor-Gist and, principal component analysis...
We propose a method for egomotion estimation from images obtained by a pair of stereo cameras for the reconstruction of 3D scene. The proposed method improves feature matching by using two eliminating criteria to filter out unlikely matching points and restricts the search window according to the epipolar constraint. The method also improves calculated motion by using bundle adjustment to integrate...
In this paper, we propose a method to extract multi-parameters regarding to tomography from PolInSAR data and investigate the potential of applying them to classify the forest vegetation species. We first propose a general volume scattering model that includes three basic scattering profile structures according to the change of extinction. Then three basic geometries of trees are introduced and their...
This paper proposes a post-processing method for image segmentation to take advantage of information not directly available from the image. Specifically, the proposed method improves the segmentation of an image by making use of shape information learned from training shapes in ground truth images. To obtain shape prior, training shapes are first aligned by congealing, and then landmark interpolation...
Kernel methods are effective machine learning techniques for many image based pattern recognition problems. Incorporating 3D information is useful in such applications. The optical profilometries and interforometric techniques provide 3D information in an implicit form. Typically phase unwrapping process, which is often hindered by the presence of noises, spots of low intensity modulation, and instability...
At present, there are two main types for medical CT image surface reconstruction: one is way of the slice contour, the other is voxel reconstruction, the former method is simple, easy for calculation and much classical computer graphics techniques can be used, the latter is related to complex computing. In this paper, image contours are extracted by active contour model, simplified by DP algorithm...
A stereo mapping system developed for a prototype lunar rover is presented in the paper. All the components, including camera calibration, image rectification, stereo matching and reconstruction, are implemented to build a model of the natural terrain. For camera calibration, an iterative calibration algorithm that accounts for both radial and tangential distortion is presented. In each step a closed-...
Ultrasonic computed tomography (UCT) is used for noninvasive temperature measurement in hyperthermia in human body. A model for temperature measurement has been established, and an UCT algorithm for the model has been developed. The authors also analyze the resolution and the time requirements of the measurement, and a method of sparse reconstruction to measure the distribution of sound speed and...
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