Results 21 to 30 of about 540,279 (314)

Beyond Image to Depth: Improving Depth Prediction using Echoes [PDF]

open access: yes2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
We address the problem of estimating depth with multi modal audio visual data. Inspired by the ability of animals, such as bats and dolphins, to infer distance of objects with echolocation, some recent methods have utilized echoes for depth estimation.
Kranti Kumar Parida   +2 more
openaire   +2 more sources

A Fractional-Order Total Variation Regularization-Based Method for Recovering Geiger-Mode Avalanche Photodiode Light Detection and Ranging Depth Images

open access: yesFractal and Fractional, 2023
High-quality image restoration is typically challenging due to low signal–to–background ratios (SBRs) and limited statistics frames. To address these challenges, this paper devised a method based on fractional-order total variation (FOTV) regularization ...
Da Xie   +6 more
doaj   +1 more source

Facial depth forgery detection based on image gradient

open access: yes, 2023
With the widespread application of deep learning, many artificially generated fake images and videos appear on the Internet. However, it is difficult for people to distinguish the real from the fake ones, making the research on detecting and recognizing ...
Fang, Xianjin   +7 more
core   +1 more source

Multivariate risks and depth-trimmed regions [PDF]

open access: yes, 2006
Acceptance set, Cone, Depth-trimmed region, Multivariate risk, Risk measure, 91B30, 91B82, 60D05, 62H99, C60, C61,
Molchanov, Ilya   +4 more
core   +1 more source

Rational filter design for depth from defocus [PDF]

open access: yes, 2012
The paper describes a new, simple procedure to determine the rational filters that are used in the depth from defocus (DfD) procedure previously researched by Watanabe and Nayar [4].
Joseph Raj, Alex Noel   +3 more
core   +1 more source

Learn to Steer through Deep Reinforcement Learning

open access: yesSensors, 2018
It is crucial for robots to autonomously steer in complex environments safely without colliding with any obstacles. Compared to conventional methods, deep reinforcement learning-based methods are able to learn from past experiences automatically and ...
Keyu Wu   +3 more
doaj   +1 more source

An Improved Method for Broiler Weight Estimation Integrating Multi-Feature with Gradient Boosting Decision Tree

open access: yesAnimals, 2023
Broiler weighing is essential in the broiler farming industry. Camera-based systems can economically weigh various broiler types without expensive platforms.
Ximing Li   +7 more
doaj   +1 more source

Calibration of depth cameras using denoised depth images [PDF]

open access: yes2014 IEEE International Conference on Image Processing (ICIP), 2014
5 pages, 3 figures ...
Ramanpreet Singh Pahwa   +3 more
openaire   +2 more sources

Estimation of Walking Intension Using Centroid Variation of Lower Body Area [PDF]

open access: yes한국정밀공학회지, 2017
A depth image camera is used for efficient estimation of walking intention of a pedestrian. Three-Dimensional image coordinates of the pedestrian’s joints are obtained from the image data that includes depth information and are converted into the ...
Ihn Sik Weon   +4 more
doaj   +1 more source

3D Hand Pose Estimation via Graph-Based Reasoning

open access: yesIEEE Access, 2021
Hand pose estimation from a single depth image has recently received significant attention owing to its importance in many applications requiring human-computer interaction.
Jae-Hun Song, Suk-Ju Kang
doaj   +1 more source

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