Results 31 to 40 of about 553,780 (312)

HRDepthNet: Depth Image-Based Marker-Less Tracking of Body Joints

open access: yesSensors, 2021
With approaches for the detection of joint positions in color images such as HRNet and OpenPose being available, consideration of corresponding approaches for depth images is limited even though depth images have several advantages over color images like
Linda Christin Büker   +3 more
doaj   +1 more source

Tracking of group‐housed pigs using multi‐ellipsoid expectation maximisation

open access: yesIET Computer Vision, 2018
Maintaining the health and well‐being of animals is critical to the efficiency and profitability of livestock operations. However, it can be difficult to monitor the health of animals in large group‐housed settings without the assistance of technology ...
Mateusz Mittek   +5 more
doaj   +1 more source

Joint head pose and facial landmark regression from depth images

open access: yesComputational Visual Media, 2017
This paper presents a joint head pose and facial landmark regression method with input from depth images for realtime application. Our main contributions are: firstly, a joint optimization method to estimate head pose and facial landmarks, i.e., the pose
Jie Wang   +3 more
doaj   +1 more source

Mackerel Fat Content Estimation Using RGB and Depth Images

open access: yesIEEE Access, 2021
We propose a method for estimating the fat content of mackerels from their images. The market value of fish varies greatly depending on the fat content.
Shuya Sano   +4 more
doaj   +1 more source

Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley

open access: yesSensors, 2019
Pastures are botanically diverse and difficult to characterize. Digital modeling of pasture biomass and quality by non-destructive methods can provide highly valuable support for decision-making.
Victor P. Rueda-Ayala   +4 more
doaj   +1 more source

Depth perception on fundus images using a single-channel stereomicroscopy

open access: yesJournal of Innovative Optical Health Sciences, 2021
Typical fundus photography produces a two-dimensional image. This makes it difficult to observe the microvascular and neural abnormalities, because the depth of the image is missing. To provide depth appreciation, we develop a single-channel stereoscopic
Edalat Radfar   +4 more
doaj   +1 more source

Calibration of depth cameras using denoised depth images [PDF]

open access: yes2014 IEEE International Conference on Image Processing (ICIP), 2014
5 pages, 3 figures ...
Ramanpreet Singh Pahwa   +3 more
openaire   +2 more sources

Synthesizing Depth Hand Images with GANs and Style Transfer for Hand Pose Estimation

open access: yesSensors, 2019
Hand pose estimation is a critical technology of computer vision and human-computer interaction. Deep-learning methods require a considerable amount of tagged data. Accordingly, numerous labeled training data are required.
Wangyong He   +4 more
doaj   +1 more source

A Bayesian Framework for Human Body Pose Tracking from Depth Image Sequences

open access: yesSensors, 2010
This paper addresses the problem of accurate and robust tracking of 3D human body pose from depth image sequences. Recovering the large number of degrees of freedom in human body movements from a depth image sequence is challenging due to the need to ...
Youding Zhu, Kikuo Fujimura
doaj   +1 more source

Joint Probabilistic People Detection in Overlapping Depth Images

open access: yesIEEE Access, 2020
Privacy-preserving high-quality people detection is a vital computer vision task for various indoor scenarios, e.g. people counting, customer behavior analysis, ambient assisted living or smart homes. In this work a novel approach for people detection in
Johannes Wetzel   +2 more
doaj   +1 more source

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