The paper proposed an approach to reconstruct the solid of rotation lacking in texture from two-dimensional images. The approach only requires a digital camera, an ordinary slide projector and a rotated platform. The camera and projector are required to be calibrated in advance. The rotated platform is functioned as a control ground and the target object is put on it. The projector projects the...

The general problem of 3D shape reconstruction from unorganized data sets can be described as follows: Given 3D range data or dense 3D scattered point sets sampled on or near an unknown object surface, reconstruct the topological and geometrical structures represented by the data points. The data points should be approximated by a set of smooth, connected surface patches such that the accuracy ...

An innovative 3D multi-branch tubular structure and centerline extraction method is proposed in this paper. In contrast to classical minimal path techniques that can only detect a single curve between two pre-defined initial points, this method propagates outward from only one initial seed point to detect 3D multi-branch tubular surfaces and centerlines simultaneously. First, instead of only re...

The purpose of this study is to extract 3D information from 2D images passively. Though the voting technique is one of the passive methods to obtain the 3D information effectively, it cannot be applied to objects with smooth surfaces. It can measure only the feature points such as the edges which were previously extracted from each image. In this paper, we propose a new method to measure the 3D...

We are developing shape recovery technology that can semi-automatically process image sequences using the idea of ” Shape from Motion” . In this paper, we investigate an acquisition and recovery method that processes hybrid feature points extracted from both high-resolution images and video images using the factorization method. The 3D object models are assumed to have N-point column shape, and...

This paper presents a novel method for fully automatic and convenient extrinsic calibration of a 3D LiDAR and a panoramic camera with a normally printed chessboard. The proposed method is based on the 3D corner estimation of the chessboard from the sparse point cloud generated by one frame scan of the LiDAR. To estimate the corners, we formulate a full-scale model of the chessboard and fit it t...

Nowadays, the use of laser scanner devices as an active technique for acquiring 3D information is growing fast. The huge amount of object points produced with less effort than other 3D acquisition techniques is one of the reasons for interest. For accurate measurements a sophisticated sensor model and calibration procedure is an important prerequisite of such an efficient system. The calibratio...

In this paper, we show how relative SD reconstruction for point correspondences of multiple images f r o m uncalibrated cameras can be achieved through reference points. The original contributions with respect t o other related works in the field are mainly a direct global method for relative SD reconstruction, a geometrical method t o select a correct set of reference points among all image po...