In this paper a model based approach is presented for generating 3D face models from two stereo images. The proposed method works with a small number of feature points of the face. The automatically registrated point pairs are used to reconstruct their 3D correspondence, then a predefined general face model is adjusted to the reconstructed 3D points. Fitting the general face model to the featur...

In this paper, we propose a novel approach to reconstruct triangle meshes from point sets by taking the silhouette of the target object into consideration. Recently, many approaches have been proposed for complete 3D reconstruction of moving objects. For example, motion capture techniques are used to acquire 3D data of human motion. However, it needs to attach markers onto the joints, which res...

3D mapping has been used in multi-discipline applications. The traditional 3D mapping method needs specially trained people and expensive equipment to collect data and process data. Over recent years, as the rapid development of sensor technologies, computer vision and photogrammetry, the vision-based method to detailing works was brought to fill the gap and improve the efficiency of 3D mapping...

In the field of computer vision, over-segmentation, or super-pixels generation, has become a popular preliminary stage for high level image analysis processes (such as classification, registration, detection and recognition). New acquisition technologies, like RGBD or LiDAR cameras, enable the capturing of 3D point clouds containing both color and geometrical information. We propose a new gener...

In this paper, we exploit the 3D-beamforming features of multiantenna equipment employed in fifth generation (5G) networks, operating in the millimeter wave (mmW) band, for accurate positioning and tracking of users. We consider sequential estimation of users’ positions, and propose a twostage extended Kalman filter (EKF) that is based on reference signal received power (RSRP) measurements. In ...

To render scenes by camera-based ambient intelligence, we propose a dense 3D modeling algorithm using feature points that dynamically appear and disappear over time; that is, we reconstruct a 3D model of the scene with a dense feature point set that “evolves” over time. As the scene’s appearance changes due to camera movements, some existing feature points dynamically disappear while some new f...

Nowadays, with the rapid development of 3D building model based applications, there is an urgent demand to develop automatic techniques for integrating 3D outdoor building models with 2D and 3D indoor information to produce semantically, geometrically and topologically correct 3D building models. 3D terrestrial laser scanning (TLS) data provides the accurate 3D geometric information, whereas 2D...

This paper presents a novel 802.11-based positioning system called the Maximal Cluster Centered Positioning System (MCCPS) developed and demonstrated at National Central University. The MCCPS system locates mobile objects via collecting the sensed power strengths of the mobile objects to multiple wireless access points. To overcome the serious multipath fading problem in the indoor environment,...

In the last 10 years a unified approach to creating 3D models from multiple images has been developed by Beardsley[1],Hartley[4,5,9],Torr[1,6] and Zisserman[1,9]. In principle it allows point and line features that can be distinguished from more than one point of view in 2D images to be automatically converted into points in a 3D world coordinate model. If a sufficient number of vertices or poi...

Direct positioning and data acquisition system, composed of global positioning system (GPS), inertial navigation system (INS), laser ranging technique and digital photogrammetry, is a fast data acquiring technique developed in the field of surveying and mapping in recent years. Focusing on data acquisition based on vehicle-borne mobile mapping system integrated with GPS/INS/CCD cameras, this pa...