Results 81 to 90 of about 744 (143)

Monocular Depth Estimation: A Thorough Review

IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of depth in two-dimensional images is among the challenging topics in Computer Vision. This is a well-studied but also an ill-posed problem, which has long been the focus of intense research. This paper is an in-depth review of the topic, presenting two aspects, one that considers the mechanisms of human depth perception, and another that ...
Arampatzakis, Vasileios, Pavlidis, George, Mitianoudis, Nikolaos, Papamarkos, Nikos   +3 more
openaire   +4 more sources

Depth‐Aware Machine Learning for 3D Reconstruction of Fibrous Porous Electrodes by FIB‐SEM Tomography

Small Methods, EarlyView.
In FIB–SEM tomography of highly porous polymeric electrodes, subsurface fibers visible through open pores are mistaken for in‐plane material, distorting 3D reconstructions. A machine‐learning‐based depth‐aware model trained on everyday photographs, combined with unsupervised clustering, isolates the exposed fiber cross‐sections without labeled data ...
Carlota Bozal‐Ginesta, Claudia Bissattini Alessi, Peng Zeng, Julie Ruellou, Jakub Drnec, Alessandro Senocrate, Corsin Battaglia   +6 more
wiley   +1 more source

Monocular depth estimation for endoscopic surgery using swin transformer and conditional random fields

Scientific Reports
Monocular depth estimation in endoscopic surgery is challenging due to weak tissue textures, uneven illumination, specular reflections, and frequent smoke or instrument interference.
Yangyi Deng, Can Yan, Naijun Cheng
doaj   +1 more source

Monocular Depth Estimation via Self-Supervised Self-Distillation

Sensors
Self-supervised monocular depth estimation can exhibit excellent performance in static environments due to the multi-view consistency assumption during the training process.
Haifeng Hu, Yuyang Feng, Dapeng Li, Suofei Zhang, Haitao Zhao   +4 more
doaj   +1 more source

The Third Monocular Depth Estimation Challenge

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
To appear in ...
Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell 0001, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu 0004, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li 0013, Qing Mao, Jiang Wu, Yu Zhu 0004, Jinqiu Sun, Yanning Zhang 0001, Suraj Patni, Aradhye Agarwal, Chetan Arora 0002, Pihai Sun, Kui Jiang, Gang Wu 0010, Jian Liu 0036, Xianming Liu 0005, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder   +40 more
openaire   +4 more sources

RotGS: Rotation‐Guided 3D Gaussian Splatting for Turntable Sequences without Structure‐from‐Motion

Computer Graphics Forum, EarlyView.
Abstract The field of 3D reconstruction from multi‐view images has advanced rapidly thanks to 3D Gaussian Splatting (3DGS), which enables efficient and photorealistic scene representation. However, optimizing 3DGS requires high‐quality images from various viewpoints with accurate camera poses.
Kyumin Kim, Dohae Lee, Hanul Baek, In‐Kwon Lee   +3 more
wiley   +1 more source

Depth estimation for a road scene using a monocular image sequence based on fully convolutional neural network

International Journal of Advanced Robotic Systems, 2020
An advanced driving assistant system is one of the most popular topics nowadays, and depth estimation is an important cue for advanced driving assistant system.
Haixia Wang, Yehao Sun, Zhiguo Zhang, Xiao Lu, Chunyang Sheng   +4 more
doaj   +1 more source

See4D: Pose‐Free 4D Generation via Auto‐Regressive Video Inpainting

Computer Graphics Forum, EarlyView.
Abstract Immersive applications call for synthesizing spatiotemporal 4D content from casual videos without costly 3D supervision. Existing video‐to‐4D methods typically rely on manually annotated camera poses, which are labor‐intensive and brittle for in‐the‐wild footage.
Dongyue Lu, Ao Liang, Tianxin Huang, Xiao Fu, Yuyang Zhao, Baorui Ma, Liang Pan, Wei Yin, Lingdong Kong, Wei Tsang Ooi, Ziwei Liu   +10 more
wiley   +1 more source

Monocular Depth Estimation for Autonomous Driving

, 2022
Universitat Autònoma de Barcelona.
openaire   +2 more sources

Advances in 4D Representation: Geometry, Motion, and Interaction

Computer Graphics Forum, EarlyView.
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao, S. Nag, K. Wang, A. Vora, G. Ji, P. Chun, A. Mahdavi‐Amiri, H. Zhang   +7 more
wiley   +1 more source