Results 1 to 10 of about 474,599 (267)

Depth image super-resolution reconstruction based on a modified joint trilateral filter [PDF]

Royal Society Open Science, 2019
Depth image super-resolution (SR) is a technique that uses signal processing technology to enhance the resolution of a low-resolution (LR) depth image.
Dongsheng Zhou, Ruyi Wang, Xin Yang, Qiang Zhang, Xiaopeng Wei   +4 more
doaj   +2 more sources

Hand–Object Pose Estimation Based on Anchor Regression from a Single Egocentric Depth Image [PDF]

Sensors
To precisely understand the interaction behaviors of humans, a computer vision system needs to accurately acquire the poses of the hand and its manipulated object. Vision-based hand–object pose estimation has become an important research topic.
Jingang Lin, Dongnian Li, Chengjun Chen, Zhengxu Zhao   +3 more
doaj   +2 more sources

DTS-Depth: Real-Time Single-Image Depth Estimation Using Depth-to-Space Image Construction

Sensors, 2022
As most of the recent high-resolution depth-estimation algorithms are computationally so expensive that they cannot work in real time, the common solution is using a low-resolution input image to reduce the computational complexity.
Hatem Ibrahem, Ahmed Salem, Hyun-Soo Kang   +2 more
doaj   +1 more source

A Novel Approach to Automated 3D Spalling Defects Inspection in Railway Tunnel Linings Using Laser Intensity and Depth Information

Sensors, 2021
The detection of concrete spalling is critical for tunnel inspectors to assess structural risks and guarantee the daily operation of the railway tunnel.
Mingliang Zhou, Wen Cheng, Hongwei Huang, Jiayao Chen   +3 more
doaj   +1 more source

Evaluation of Depth Cameras for Use in Fruit Localization and Sizing: Finding a Successor to Kinect v2

Agronomy, 2021
Eight depth cameras varying in operational principle (stereoscopy: ZED, ZED2, OAK-D; IR active stereoscopy: Real Sense D435; time of flight (ToF): Real Sense L515, Kinect v2, Blaze 101, Azure Kinect) were compared in context of use for in-orchard fruit ...
Chiranjivi Neupane, Anand Koirala, Zhenglin Wang, Kerry Brian Walsh   +3 more
doaj   +1 more source

Blending Colored and Depth CNN Pipelines in an Ensemble Learning Classification Approach for Warehouse Application Using Synthetic and Real Data

Machines, 2021
Electric companies face flow control and inventory obstacles such as reliability, outlays, and time-consuming tasks. Convolutional Neural Networks (CNNs) combined with computational vision approaches can process image classification in warehouse ...
Paulo Henrique Martinez Piratelo, Rodrigo Negri de Azeredo, Eduardo Massashi Yamao, Jose Francisco Bianchi Filho, Gabriel Maidl, Felipe Silveira Marques Lisboa, Laercio Pereira de Jesus, Renato de Arruda Penteado Neto, Leandro dos Santos Coelho, Gideon Villar Leandro   +9 more
doaj   +1 more source

Human Motion Tracking Using 3D Image Features with a Long Short-Term Memory Mechanism Model—An Example of Forward Reaching

Sensors, 2021
Human motion tracking is widely applied to rehabilitation tasks, and inertial measurement unit (IMU) sensors are a well-known approach for recording motion behavior.
Kai-Yu Chen, Li-Wei Chou, Hui-Min Lee, Shuenn-Tsong Young, Cheng-Hung Lin, Yi-Shu Zhou, Shih-Tsang Tang, Ying-Hui Lai   +7 more
doaj   +1 more source

A depth image restoration algorithm based on WMF-ACA

上海师范大学学报. 自然科学版, 2021
To solve the problem of holes and noise in the depth image due to the limitation of RGBD camera hardware, a color imageguided method for filling holes in depth image was proposed. Firstly, for the boundary area of the depth image, a weighted mode filter (
SHEN Huizhong, ZHANG Qian, WANG Bin, SUN Yijin, WU Yujing, WANG Xiaohui   +5 more
doaj   +1 more source

Layered depth images [PDF]

Proceedings of the 25th annual conference on Computer graphics and interactive techniques - SIGGRAPH '98, 1998
In this paper we present a set of efficient image based rendering methods capable of rendering multiple frames per second on a PC. The first method warps Sprites with Depth representing smooth surfaces without the gaps found in other techniques. A second method for more general scenes performs warping from an intermediate representation called a ...
Jonathan Shade, Steven J. Gortler, Li-wei He, Richard Szeliski   +3 more
openaire   +1 more source

Dithered depth imaging

Optics Express, 2020
Single-photon lidar (SPL) is a promising technology for depth measurement at long range or from weak reflectors because of the sensitivity to extremely low light levels. However, constraints on the timing resolution of existing arrays of single-photon avalanche diode (SPAD) detectors limit the precision of resulting depth estimates.
Joshua Rapp, Robin M. A. Dawson, Vivek K Goyal   +2 more
openaire   +3 more sources