Results 11 to 20 of about 3,462,291 (207)

The Monocular Depth Estimation Challenge [PDF]

2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2023
WACV-Workshops ...
Jaime Spencer, C. Stella Qian, Chris Russell 0001, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang 0001, Fabio Tosi, Hao Wang, Youmin Zhang 0008, Yusheng Zhang, Chaoqiang Zhao   +18 more
core   +6 more sources

EVALUATING MONOCULAR DEPTH ESTIMATION METHODS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Depth estimation from monocular images has become a prominent focus in photogrammetry and computer vision research. Monocular Depth Estimation (MDE), which involves determining depth from a single RGB image, offers numerous advantages, including ...
N. Padkan, N. Padkan, P. Trybala, R. Battisti, F. Remondino, C. Bergeret, C. Bergeret   +6 more
doaj   +4 more sources

Monocular Human Depth Estimation Via Pose Estimation

IEEE Access, 2021
We propose a novel monocular depth estimator, which improves the prediction accuracy on human regions by utilizing pose information. The proposed algorithm consists of two networks — PoseNet and DepthNet — to estimate keypoint heatmaps and ...
Jinyoung Jun, Jae-Han Lee, Chul Lee, Chang-Su Kim   +3 more
doaj   +2 more sources

Survey on Monocular Metric Depth Estimation

Computers
Monocular metric depth estimation (MMDE) aims to generate depth maps with an absolute metric scale from a single RGB image, which enables accurate spatial understanding, 3D reconstruction, and autonomous navigation.
Jiuling Zhang, Yurong Wu, Huilong Jiang
doaj   +4 more sources

Monocular Visual-Inertial Depth Estimation

2023 IEEE International Conference on Robotics and Automation (ICRA), 2023
We present a visual-inertial depth estimation pipeline that integrates monocular depth estimation and visual-inertial odometry to produce dense depth estimates with metric scale. Our approach performs global scale and shift alignment against sparse metric depth, followed by learning-based dense alignment. We evaluate on the TartanAir and VOID datasets,
Diana Wofk, René Ranftl, Matthias Müller 0011, Vladlen Koltun   +3 more
openaire   +4 more sources

Monocular vision based indoor simultaneous localisation and mapping for quadrotor platform [PDF]

, 2012
An autonomous robot acting in an unknown dynamic environment requires a detailed understanding of its surroundings. This information is provided by mapping algorithms which are necessary to build a sensory representation of the environment and the ...
Agarwal, Saurav
core   +7 more sources

CNN Based Monocular Depth Estimation [PDF]

E3S Web of Conferences, 2021
In several applications, such as scene interpretation and reconstruction, precise depth measurement from images is a significant challenge. Current depth estimate techniques frequently provide fuzzy, low-resolution estimates.
Swaraja K., Naga Siva Pavan K., Suryakanth Reddy S., Ajay K., Uday Kiran Reddy P., Kora Padmavathi, Meenakshi K., Chaitanya Duggineni, Valiveti Himabindu   +8 more
doaj   +1 more source

Monocular Depth Estimation Using Deep Learning: A Review [PDF]

Sensors, 2022
H Rashwan, Salman Asif, Julian Cristiano   +2 more
exaly   +2 more sources

Monocular Depth Estimation from a Fisheye Camera Based on Knowledge Distillation [PDF]

Sensors, 2023
Sang Jun Lee, Yongsik Jin, Jiho Choi
exaly   +2 more sources

Lightweight Monocular Depth Estimation

CoRR, 2022
Monocular depth estimation can play an important role in addressing the issue of deriving scene geometry from 2D images. It has been used in a variety of industries, including robots, self-driving cars, scene comprehension, 3D reconstructions, and others.
Ruilin Ma, Shiyao Chen, Qin Zhang
openaire   +3 more sources