Results 221 to 230 of about 15,415 (252)

Detection of Taekwondo Kicks Using RGB-D Sensors

Proceedings of the 2019 3rd International Conference on Software and e-Business, 2019
Sports have been invested with so many resources to be competitive and entertaining and to have injury prevention and analysis or improvement of the athlete's performance. In Human Action Recognition, there is a limited study on sports. Sports moves are faster in execution and have low inter class variability which produces noisy feature and ambiguity ...
Joel C. de Goma, Maverick S. Bustos, Josemaria A. Sebastian, Julio Jerison E. Macrohon   +3 more
openaire   +1 more source

Gait assessment using the Kinect RGB-D sensor

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
Patients with concussions, strokes and neuromuscular disease such as Parkinson's disease, often have difficulties in keeping balance and suffer from abnormal gaits. Gait assessment conducted by a physician or therapist in clinics is standard clinical practice for assessing such injuries.
Jingbo Zhao, Frank E. Bunn, Jacob M. Perron, Edward Shen, Robert S. Allison   +4 more
openaire   +2 more sources

Editorial RGB-D Sensors and 3D Reconstruction

IEEE Sensors Journal, 2020
RGB-D sensors are a specific type of depth-sensing devices that work in association with RGB camera, that are able to augment the conventional image with depth information (related with the distance to the sensor) in a perpixel basis. In recent years, depth sensors have encouraged the communities of computer vision and computer graphics to explore ...
Zhihan Lv, Jaime Lloret Mauri, Houbing Song   +2 more
openaire   +1 more source

RGB-D Sensors Calibration for Service Robots SLAM

2015
One of the major research directions in robotic vision focuses on SLAM using RGB-D sensors. The information can be used for decision making of robots and other areas that require precise position as a feature. This paper presents a novel algorithm to calibrate the RGB-D sensors for service robots SLAM.
Yue Sun, Jingtai Liu, Lei Sun 0001
openaire   +1 more source

Structure-based auto-calibration of RGB-D sensors

2016 IEEE International Conference on Robotics and Automation (ICRA), 2016
The readily available image and depth data from commodity RGB-D sensors has had tremendous impact in the robotics and computer vision community recently. To jointly leverage both modalities, the depth and image measurements need to be registered. Typical calibration approaches make use of artificial landmarks and special calibration targets.
Bernhard Zeisl, Marc Pollefeys
openaire   +1 more source

Textureless Object Recognition Using an RGB-D Sensor

2020
Object recognition is a significant task in an industrial assembly line, where a robotic arm should pick a small, textureless, and mostly homogeneous object to place it in its designated location. Despite all the recent advancements in object recognition, the problem still remains challenging for textureless industrial parts with similar shapes.
Gabriel Lugo Bustillo, Nasim Hajari, Ashley Reddy, Irene Cheng 0001   +3 more
openaire   +1 more source

Calibration of RGB-D Sensors for Robot SLAM

Applied Mechanics and Materials, 2013
This paper presents a calibration procedure for a Kinect RGB-D sensor and its application to robot simultaneous localization and mapping(SLAM). The calibration procedure consists of two stages: in the first stage, the RGB image is aligned with the depth image by using the bilinear interpolation.
Chen Tung Chi, Shih Chien Yang, Yin Tien Wang   +2 more
openaire   +1 more source

Study on Increased Fusion Map Based on RGB-D Sensor

2018 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2018
In order to realize the fast, accurate and steady maps created in unknown environment, a new method for the creation of improved fusion map with topological and metric map based on RGB-D sensor is presented. As combining with topological map, local metric map and global metric map, the method maintain the connectivity and support fusion map in the ...
Yanzi Miao, Xiaoping Ma
openaire   +1 more source

Robust RGB-D face recognition using Kinect sensor

Neurocomputing, 2016
In this paper we propose a robust face recognition algorithm for low resolution RGB-D Kinect data. Many techniques are proposed for image preprocessing due to the noisy depth data. First, facial symmetry is exploited based on the 3D point cloud to obtain a canonical frontal view image irrespective of the initial pose and then depth data is converted to
Billy Y. L. Li, Mingliang Xue, Ajmal S. Mian, Wanquan Liu, Aneesh Krishna   +4 more
openaire   +2 more sources

Machine perception in gender recognition using RGB-D sensors

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), 2016
Automatic gender recognition, from face images, plays an important role in various biometric applications. This task has attracted the interest of not only computer vision researchers, but also of many psychologists. Inspired by the psychological results for human gender perception. There are two main purposes for this work.
Safaa Azzakhnini, Lahoucine Ballihi, Driss Aboutajdine   +2 more
openaire   +1 more source