In this paper, a novel projection-based method is presented to register partial 3D point clouds, acquired from a multi-view camera, for 3D reconstruction of an indoor scene. In general, conventional registration methods for partial 3D point clouds require a high computational complexity and much time for registration. Moreover, these methods are not robust for 3D point cloud which has a low pre...

In this paper, we propose a geometry histogram modification algorithm to increase the visibility of 3D point models. We define a weak feature as a group of neighboring points yielding the small deviations of normal directions. Geometry histogram is defined as the distribution of the signed distance between a feature point and the locally approximated plane. We equalize and stretch the geometry ...

We present a new method to reconstruct a temporally coherent 3D animation from single or multi-view RGB-D video data using unbiased feature point sampling. Given RGB-D video data, in form of a 3D point cloud sequence, our method first extracts feature points using both color and depth information. In the subsequent steps, these feature points are used to match two 3D point clouds in consecutive...

This paper proposes an automated method for extracting 39 feature point$ from 3D facial iniage, and shows that 3D facial caricaturing can be realized by such these smaller number of feature point. and that these 39 feature points could be extmcted automatically. As a result, it was clarified by comparing 3D caricature of 3D PICASSO system with that of a famous caricaturist Mr. Yoshida that 3D f...

Abstract: LIDAR, or laser scanning, is capable of collecting accurate 3D coordinates of scanned points densely and sub-randomly distributed on scanned object surfaces. The huge amount of 3D points implies abundant recessive spatial information which can be turned into dominant information through various data processing methods. To explore valuable spatial information from LIDAR data automatica...

The number of registration solutions in the literature has bloomed recently. The iterative closest point, for example, could be considered as the backbone of many laser-based localization and mapping systems. Although they are widely used, it is a common challenge to compare registration solutions on a fair base. The main limitation is to overcome the lack of accurate ground truth in current da...

Now ever days positioning system of Wireless indoor Access Point have become very popular. These method have been used in many area like asset tracking, location fingerprinting and inventory management. The optimization of location of access point is to improve the accuracy of positioning due to complexity of indoor radio propagation environment. The first method introduce the indoor radio prop...