Results 11 to 20 of about 474,599 (267)

Automatic Measurement of Multi-Posture Beef Cattle Body Size Based on Depth Image

智慧农业, 2022
Beef cattle in the farm are active, which leads the collection of posture of the beef cattle changeable, so it is difficult to automatically measure the body size of the beef cattle.
YE Wenshuai, KANG Xi, HE Zhijiang, LI Mengfei, LIU Gang   +4 more
doaj   +1 more source

Depth-SIMS: Semi-Parametric Image and Depth Synthesis

2022 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, De Martini, D, Gadd, M, Newman, P   +3 more
openaire   +3 more sources

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

PLoS 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, Guangyao Li, Li Xie, Lei Peng, Qiaochuan Chen   +4 more
doaj   +1 more source

Mackerel Fat Content Estimation Using RGB and Depth Images

IEEE Access, 2021
We propose a method for estimating the fat content of mackerels from their images. The market value of fish varies greatly depending on the fat content.
Shuya Sano, Tomo Miyazaki, Yoshihiro Sugaya, Naohiro Sekiguchi, Shinichiro Omachi   +4 more
doaj   +1 more source

Approximate Depth Shape Reconstruction for RGB-D Images Captured from HMDs for Mixed Reality Applications

Journal of Imaging, 2020
Depth sensors are important in several fields to recognize real space. However, there are cases where most depth values in a depth image captured by a sensor are constrained because the depths of distal objects are not always captured.
Naoyuki Awano
doaj   +1 more source

Buckwheat Plant Height Estimation Based on Stereo Vision and a Regression Convolutional Neural Network under Field Conditions

Agronomy, 2023
Buckwheat plant height is an important indicator for producers. Due to the decline in agricultural labor, the automatic and real-time acquisition of crop growth information will become a prominent issue for farms in the future.
Jianlong Zhang, Wenwen Xing, Xuefeng Song, Yulong Cui, Wang Li, Decong Zheng   +5 more
doaj   +1 more source

A Fast Stereo Matching Network with Multi-Cross Attention

Sensors, 2021
Stereo matching networks based on deep learning are widely developed and can obtain excellent disparity estimation. We present a new end-to-end fast deep learning stereo matching network in this work that aims to determine the corresponding disparity ...
Ming Wei, Ming Zhu, Yi Wu, Jiaqi Sun, Jiarong Wang, Changji Liu   +5 more
doaj   +1 more source

Exploring depth information for head detection with depth images [PDF]

2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2016
Head detection may be more demanding than face recognition and pedestrian detection in the scenarios where a face turns away or body parts are occluded in the view of a sensor, but locating people is needed. In this paper, we introduce an efficient head detection approach for single depth images at low computational expense.
Chen, Siyuan, Bremond, Francois, Nguyen, Hung, Thomas, Hugues   +3 more
openaire   +2 more sources

Feature Pyramid Network Based Efficient Normal Estimation and Filtering for Time-of-Flight Depth Cameras

Sensors, 2021
In this paper, an efficient normal estimation and filtering method for depth images acquired by Time-of-Flight (ToF) cameras is proposed. The method is based on a common feature pyramid networks (FPN) architecture.
Szilárd Molnár, Benjamin Kelényi, Levente Tamas   +2 more
doaj   +1 more source

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

Fractal 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, Xinjian Wang, Chunyang Wang, Kai Yuan, Xuyang Wei, Xuelian Liu, Tingsheng Huang   +6 more
doaj   +1 more source