In this paper an eeective technique of camera calibration based on a 3D-point-grid is presented. The properties of structured space points, deened as 3D-point-grid, and their relations under perspective transformation are analyzed. Upon the correspondence between these 3D-points and their image points a calibration is made not only to compute the parameters of camera model by a linear method si...

This paper describes a novel method for constructing triangle meshes from noisy and non-uniformly distributed 3D points. It consists of two steps. (1) Noise point removal uses clustering algorithm and epipolar constraint method to identify and remove noise points from the 3D points. (2) Constructive polygonization algorithm interpolates cleaned 3D points to construct a triangle mesh of the obje...

This paper improves a deep learning model for point cloud registration of different sizes. Point is an important task applications such as 3D modeling, self-positioning mobile robots, and environment inspection. Recently, has started to deal with clouds. PointNet was the first classification semantic segmentation. Since then, methods based on tasks clouds have also been proposed. However, these...

Recently, the availability of low cost depth cameras has provided 3D sensing capabilities for mobile robots in the form of dense 3D point clouds, usable for applications like 3D mapping and reconstruction, shape analysis, pose tracking and object recognition. For all the aforementioned applications, processing the raw 3D point cloud in real time and at full frame rates may be infeasible due to ...

It is an important task to locate facial feature points due to the widespread application of 3D human face models in medical fields. In this paper, we propose a 3D facial feature point localization method that combines the relative angle histograms with multiscale constraints. Firstly, the relative angle histogram of each vertex in a 3D point distribution model is calculated; then the cluster s...

Estimating the pose (position and orientation) of a camera with respect to a xed 3D coor-dinate system from an image of the surrounding environment captured in that pose has manyapplications. In our work we try to establish 2D-to-3D point correspondences between the im-age and the environment in order to apply Perspective-n-Point (PnP) algorithm to compute thepose. Each 2D-to-3D...

This paper describes the processing of IKONOS and QUICKBIRD imagery of two different datasets in Switzerland for analyzing the geometric accuracy potential of these images for 3D point positioning, and orthoimage and DSM generation. The first dataset consists of panchromatic and multispectral IKONOS and QUICKBIRD images covering the region of Geneva. In the second area around Thun with a height...

We present here the Fast Sampling Plane Filtering (FSPF) algorithm, which reduces the volume of the 3D point cloud by sampling points from the depth image, and classifying local grouped sets of points as belonging to planes in 3D (called the “plane filtered” points) or points that do not correspond to planes (the “outlier” points). We present a localization algorithm based on an observation mod...