Results 11 to 20 of about 2,028,296 (276)

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

open access: yesSensors, 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   +2 more
doaj   +3 more sources

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

open access: yesRoyal 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   +4 more
doaj   +2 more sources

Wavelet-based stereo images reconstruction using depth images [PDF]

open access: yesSPIE Proceedings, 2007
It is believed by many that three-dimensional (3D) television will be the next logical development toward a more natural and vivid home entertaiment experience. While classical 3D approach requires the transmission of two video streams, one for each view, 3D TV systems based on depth image rendering (DIBR) require a single stream of monoscopic ...
Jovanov, Ljubomir   +2 more
openaire   +4 more sources

Exemplar-based image completion using image depth information. [PDF]

open access: yesPLoS ONE, 2018
Image completion techniques are required to complete missing regions in digital images. A key challenge for image completion is keeping consistency of image structures without ambiguity and visual artifacts. We propose a novel method for image completion
Mang Xiao   +4 more
doaj   +4 more sources

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

open access: yesSensors
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   +3 more
doaj   +2 more sources

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

open access: yesSensors, 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   +3 more
doaj   +1 more source

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

open access: yesAgronomy, 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   +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

open access: yesMachines, 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   +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

open access: yesSensors, 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   +7 more
doaj   +1 more source

Depth-SIMS: Semi-Parametric Image and Depth Synthesis

open access: yes2022 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   +3 more
openaire   +3 more sources

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