Results 21 to 30 of about 2,028,296 (276)

Dithered depth imaging

open access: yesOptics Express, 2020
Single-photon lidar (SPL) is a promising technology for depth measurement at long range or from weak reflectors because of the sensitivity to extremely low light levels. However, constraints on the timing resolution of existing arrays of single-photon avalanche diode (SPAD) detectors limit the precision of resulting depth estimates.
Joshua Rapp   +2 more
openaire   +3 more sources

A depth image restoration algorithm based on WMF-ACA

open access: yes上海师范大学学报. 自然科学版, 2021
To solve the problem of holes and noise in the depth image due to the limitation of RGBD camera hardware, a color imageguided method for filling holes in depth image was proposed. Firstly, for the boundary area of the depth image, a weighted mode filter (
SHEN Huizhong   +5 more
doaj   +1 more source

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

open access: yes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   +4 more
doaj   +1 more source

Layered depth images [PDF]

open access: yesProceedings of the 25th annual conference on Computer graphics and interactive techniques - SIGGRAPH '98, 1998
In this paper we present a set of efficient image based rendering methods capable of rendering multiple frames per second on a PC. The first method warps Sprites with Depth representing smooth surfaces without the gaps found in other techniques. A second method for more general scenes performs warping from an intermediate representation called a ...
Jonathan Shade   +3 more
openaire   +1 more source

Mackerel Fat Content Estimation Using RGB and Depth Images

open access: yesIEEE 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   +4 more
doaj   +1 more source

Depth image simplification

open access: yesOSA Continuum, 2020
The stereoscopic vision is widely used to acquire depth information, distances between objects, as well as obstacle detection. In this work, a method that reduces the amount of data to obtain depth information for a specific scenery is proposed. The method reduces a 640x480 size image to a 3x3 matrix, simplifying the instructions and decision making ...
V. Hernández Arreola   +2 more
openaire   +1 more source

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

open access: yesJournal 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

open access: yesAgronomy, 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   +5 more
doaj   +1 more source

A Fast Stereo Matching Network with Multi-Cross Attention

open access: yesSensors, 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   +5 more
doaj   +1 more source

Selective rendering for efficient ray traced stereoscopic images [PDF]

open access: yes, 2009
Depth-related visual effects are a key feature of many virtual environments. In stereo-based systems, the depth effect can be produced by delivering frames of disparate image pairs, while in monocular environments, the viewer has to extract this depth ...
Chalmers, Alan   +3 more
core   +1 more source

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