Plane welds are a common type of weld in industrial sites. When the welding robot multiple types plane at same time, traditional teaching and programming modes become relatively complicated. Therefore, order to solve problem automatic various welds, taking V-type butt, I-type lap as examples, this paper proposes extraction method based on 3D vision. Firstly, realize line segmentation workpiece ...

With the rapid development of computer network and information technology, traditional clothing industry has taken a giant stride forward to computer information and digitization. In this paper, 250 3D point-cloud photos of young females were selected as subjects, and related characteristic points of neck rhizosphere (including front neck point, side neck point and back neck point) were determi...

The mean value and standard deviation of localization error for the stereo imaging systems are derived based on probability theory. Compared with the maximum error analysis method used in our previous study, the new approach yields more informative and precise results as the guidance for X-ray imaging system design and protocol optimization. The prototype for our current study is a CCD based mo...

Three-dimensional (3D) topographic structures of acupuncture points were investigated by using synchrotron radiation in-line X-ray phase contrast computerized tomography. Two acupuncture points, named Zhongji (RN3) and Zusanli (ST36), were studied. We found an accumulation of microvessels at each acupuncture point region. Images of the tissues surrounding the acupuncture points do not show such...

This thesis deals with the reconstruction of 3D models of scenes from images taken by cameras. It is common to reconstruct from subsets of images and to merge the partial 3D models, based on a 3D alignment step. Reconstruction and alignment algorithms rely on point or line correspondences between the images. The position of these features in the images is affected by noise, which influences the...

We present a two-step camera calibration process based on linear least squares formulations. We show how to apply this process to build an integrated modeling environment, in which a scene is modeled by having the user specify, on a given image, a set of reference points (used for camera calibration) and object points (used for positioning the objects in the scene). Once this has been done, syn...

A bottleneck in the analysis of longitudinal MR scans with white matter brain lesions is the temporally consistent segmentation of the pathology. We identify pathologies in 3D+t(ime) within a spectral graph clustering framework. Our clustering approach simultaneously segments and tracks the evolving lesions by identifying characteristic image patterns at each time-point and voxel correspondence...

3D semantic scene labeling is fundamental to agents operating in the real world. In particular, labeling raw 3D point sets from sensors provides fine-grained semantics. Recent works leverage the capabilities of Neural Networks (NNs), but are limited to coarse voxel predictions and do not explicitly enforce global consistency. We present SEGCloud, an end-to-end framework to obtain 3D point-level...