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Odometry is a very popular research direction in recent decades and plays a very critical role in the autonomous navigation system. VISO2, as a relatively robust and mature visual odometry algorithm, becomes unreliable when distinct visual features are insufficiently or when the texture of the environment is repetitive. Even if not in such a challenging environment, the drift is still a big problem...
Obstacle information detection is a prerequisite for safety and stability driving of unmanned platforms in the unknown environments. Joint detection of the obstacle using the 3D laser radar (3D LADAR) and camera is proposed in this paper. Firstly, joint calibration between 3D LADAR and camera based on the planar feature method is done. Secondly, laser point cloud is clustered to identify the number...
Human detection in dense crowds poses to be a demanding task owing to complex background and serious occlusion. In this paper, we propose a novel real-time and reliable human detection system. We solve the human detection problem by presenting a novel cube surface model captured by a binocular stereo vision camera. We first propose a cube surface model to estimate the 3D background cubes in the surveillance...
The infrared camera array devices, which are important components of the air robot automatic optical navigation system, need to be calibrated for keeping the effectiveness and precision of tracking and location. We propose a brand new method for automatic calibration of infrared camera array, we focus on the rotation matrices and translation matrices between the cameras and the world coordinate. We...
Vision measurement technology research is active in recent years, which has broad application prospect in the fields of military and civilian industrial production. On the basis of comparing several existing measurement techniques, our paper mainly studied a method of geodetic coordinate calculation based on monocular vision on UAV platform, which is extension and expansion of the traditional monocular...
This study examines the acoustic effect of the laryngeal cavity of female speakers on the higher vowel spectra. To do so, MRI data of vowels /a/ and /i/ obtained from three female speakers were analyzed with data from a male speaker as reference. 3D vocal-tract shapes were extracted from the MRI data and printed as solid mechanical models. Transfer functions of the models' vocal tracts were estimated...
In this paper, we propose a computational model of visual attention for stereoscopic video. Low-level visual features including color, luminance, texture and depth are used to calculate feature contrast for spatial saliency of stereoscopic video frames. Besides, the proposed model adopts motion features to compute the temporal saliency. Here, we extract the relative planar and depth motion for temporal...
Developing high performance self-selective cell (SSC) is one of the most critical issues of the integration of 3D vertical RRAM (V-RRAM). In this work, a four-layer V-RRAM array, with high performance HfO2/mixed ionic and electronic conductor (MIEC) bilayer SSC, was demonstrated for the first time. Several salient features were achieved, including ultra-low half-select leakage (<0.1 pA), very high...
We report the study of InGaN/GaN multiple quantum wells (MQWs) grown on multi-facet microrods. The multi-facet MQWs have broad emission spectrum. Electrical injection was demonstrated with emission color ranged from red to blue.
We report the fabrication and study of coreshell InGaN/GaN multiple quantum well (MQW) nanorod photovoltaic device. The nanorods were fabricated from a GaN substrate by top-down etch, followed by InGaN/GaN MQW growth. The 3D geometry allows higher Indium incorporation and extends the solar absorption spectral range as compared with a planar reference sample. The proof-of-concept coreshell nanorod...
Reconstructing 3D face models from multiple uncalibrated 2D face images is usually done by using a single reference 3D face model or some gender/ethnicity-specific 3D face models. However, different persons, even those of the same gender or ethnicity, usually have significantly different faces in terms of their overall appearance, which forms the base of person recognition using faces. Consequently,...
Uneven terrain walking is one of the important premises for biped robots to serve people. However, it is one of the key challenges for biped robots walking on a slope. In this paper, a universal method to generate patterns for biped robot walking on a three-dimensional (3D) slope is proposed. Different from most researches, which only focused on the specific walking directions on a slope as across...
Augmented Reality (AR) refers to the science and technology which enables 3D/2D computer graphics to overlay video frames in real time so as to add contextual information to deepen people's understanding of the real scene. In particular, outdoor AR as an emerging technology opens up new possibilities and applications for Location Based Services (LBS). As with the increasing amount of 3D city models...
We present a large-scale eye tracking database for stereo-scopic video. A set of participants were involved in this eye tracking experiment. The human fixation maps were created as the ground truth for stereoscopic video from the gaze data from participants. To the best of our knowledge, this is the first large-scale eye tracking database of visual attention modeling for stereoscopic video. The details...
Getting good viewpoints has been considered important for promoting the efficiency when investigating a model. Many view selection methods therefore have been proposed. In particular, measuring semantic meaning of the model features through segmentation is regarded more effective to get optimal viewpoints. Unfortunately, the semantic meanings of the model are usually obtained through experiences,...
Total focusing method (TFM) is a post-processing algorithm for ultrasonic imaging, usually used for processing linear array data. In this paper, TFM is extended to obtain three-dimensional (3D) image based on two-dimensional array data. However, it takes a long time to get 3D information from large amount of 2D array data by TFM. So Sub-aperture matrix capture (SMC) and sparse array are taken into...
Quality of Experience (QoE) in 3DTV may be influenced by many factors, such as the viewing conditions, the characteristics of the panel of viewers, etc. In this study, the impact of two factors, namely the test environment and the display technology are analyzed. Particularly, two paired comparison experiments have been carried out to assess the overall preference of experience (PoE) for a set of...
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