Results 81 to 90 of about 1,126 (166)

Inline Wear Detection in High-Speed Progressive Dies Using Photometric Stereo [PDF]

open access: yesMATEC Web of Conferences
The progressive forming of complex components, including blanking, deep-drawing, and bending, represents an economically efficient sheet metal processing method.
Moske Jonas   +7 more
doaj   +1 more source

Real-time stereo matching on CUDA using Fourier descriptors and dynamic programming

open access: yesComputational Visual Media, 2019
Computation of stereoscopic depth and disparity map extraction are dynamic research topics. A large variety of algorithms has been developed, among which we cite feature matching, moment extraction, and image representation using descriptors to determine
Mohamed Hallek   +2 more
doaj   +1 more source

Disparity estimation of stereo-endoscopic images using deep generative network

open access: yesICT Express
A novel disparity estimation pipeline is proposed for 3D reconstruction of dynamic soft tissues in minimally invasive surgery (MIS), which uses a deep generative network to learn manifold distributions of reasonable disparity maps from past stereo images
Bo Yang   +4 more
doaj   +1 more source

ePoster

open access: yes
European Journal of Neurology, Volume 33, Issue S1, June 2026.
wiley   +1 more source

Fringe photometric stereo

open access: yesOptica
In fringe projection profilometry (FPP), a high spatial frequency of fringe typically indicates powerful error suppression capability; however, it complicates phase unwrapping, necessitating a greater number of patterns and thus compromising the real-time performance of scanning. In this letter, we report a fringe photometric stereo (FPS) to completely
Geyou Zhang   +3 more
openaire   +1 more source

Optical imaging technology in colonoscopy: Is there a role for photometric stereo? [PDF]

open access: yesWorld J Gastrointest Endosc, 2020
Shandro BM   +4 more
europepmc   +1 more source

Generalizable stereo depth estimation with masked image modelling

open access: yesHealthcare Technology Letters
Generalizable and accurate stereo depth estimation is vital for 3D reconstruction, especially in surgery. Supervised learning methods obtain best performance however, limited ground truth data for surgical scenes limits generalizability.
Samyakh Tukra   +3 more
doaj   +1 more source

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