No abstract

石器データベースと RGB-D

In 3D CAD systems, it is not always possible to convert trimmed surfaces to the intended shapes upon data exchange between different CAD systems because the definition of trimmed surfaces is not unified among the CAD systems. If a shape can not import to a CAD system, the shape should be modified to suit to the system. But many problems to improve the shape arise. To solve the problems, it is effective to generate a new surface

This paper presents current research results that concern the generation of foot bio-models for performing finite element analysis for footwear design evaluation and optimization. The foot bio-models produced so far include complete geometric models of the foot bones along with their corresponding material properties. For the generation of the bones geometry a dense set of CT scan data is utilized. Four different approaches for the reconstruction of the corresponding 3D surfaces are presented and discussed. A preliminary FE analysis for simulating foot/ground interaction has been carried out to assert the performance of the chosen material type and properties. Finally, a cloud infrastructure is introduced to provide to the end-users a web-based interface for performing simulation scenarios concerning foot/footwear and foot/ground interaction.

Relics such as stone implements and earthenware are analyzed and researched archeologically according to point cloud data obtained by three-dimensional measurements of the relics. Relics are archeologically precious and some relics measured in this study are accompanied by a risk of damage caused by movement. In addition, a large quantity of relics are excavated from archaeological ruins. As such, it has a high cost to move the relics for measurement. Therefore it is effective to measure excavated relics locally and to transfer the measured data via an internet. However, as the measurement precision gets better it will result in a greater number of points which will increase the point cloud data size. Also, the long transmission times for these large-scale point cloud data becomes a problem. One of the methods to solve this problem is to use data compression to express point clouds with smaller amount of data. This study examines the method to compress point cloud data by approximating flake surfaces in stone implements with trimmed surfaces, which can be expressed with the smaller number of control points than the total number of points in a point cloud. In addition, this study examines the method to restore a point cloud data from the trimmed surfaces. We applied this method to a point cloud data measuring in a 0.1mm pitch and a good result was obtained.