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In this paper, we present an algorithm that is to estimate the position of a hand-held camera with respect to terrestrial LiDAR data. Our input is a set of 3D range scans with intensities and one or a set of 2D uncalibrated camera images of the scene. The algorithm that automatically registers range scans and 2D images is composed of following steps. In the first step, we project the terrestrial LiDAR...
We present a robust camera pose estimation approach for stereo images captured in untextured environments. Unlike most of existing registration algorithms which are point-based and make use of intensities of pixels in the neighborhood, our approach imports line segments in registration process. With line segments as primitives, the proposed algorithm is capable to handle untextured images such as...
For wireless network based graphics applications, a key challenge is how to efficiently transmit complex 3-D models over bandwidth-limited wireless channels. Most existing 3-D mesh transmission systems do not consider such a view-dependent delivery issue, and thus transmit unnecessary portions of 3-D mesh models, which leads to the waste in precious wireless network bandwidth. In this paper, we propose...
For network-based graphics applications, a key challenge is how to efficiently transmit complex three-dimensional (3D) models over bandwidth-limited communication channels such as wireless links. Most existing 3D mesh coding algorithms do not consider the view-dependent rendering issue, and therefore result in transmitting unnecessary portions of 3D mesh models which leads to the waste in precious...
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