Results 1 to 10 of about 540,279 (314)

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

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   +3 more sources

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

Single image depth estimation: An overview [PDF]

Digital Signal Processing, 2022
We review solutions to the problem of depth estimation, arguably the most important subtask in scene understanding. We focus on the single image depth estimation problem. Due to its properties, the single image depth estimation problem is currently best tackled with machine learning methods, most successfully with convolutional neural networks.
Alican Mertan, Damien Jade Duff, Gozde Ünal   +2 more
exaly   +3 more sources

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

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

Depth-SIMS: Semi-Parametric Image and Depth Synthesis

2022 International Conference on Robotics and Automation (ICRA), 2022
In this paper we present a compositing image synthesis method that generates RGB canvases with well aligned segmentation maps and sparse depth maps, coupled with an in-painting network that transforms the RGB canvases into high quality RGB images and the sparse depth maps into pixel-wise dense depth maps.
Musat, V, De Martini, D, Gadd, M, Newman, P   +3 more
openaire   +3 more sources