Results 11 to 20 of about 537,297 (264)

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

Study on the detection of water status of tomato (Solanum lycopersicum L.) by multimodal deep learning

open access: yesFrontiers in Plant Science, 2023
Water plays a very important role in the growth of tomato (Solanum lycopersicum L.), and how to detect the water status of tomato is the key to precise irrigation. The objective of this study is to detect the water status of tomato by fusing RGB, NIR and
Zhiyu Zuo   +9 more
doaj   +1 more source

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

Depth-SIMS: Semi-Parametric Image and Depth Synthesis

open access: yes2022 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   +3 more
openaire   +4 more sources

Sparse Representations-based depth images quality assessment

open access: yesVisual Informatics, 2021
The conventional 2D metrics can be used for measuring the quality of depth maps, but none of them is considered to be efficient and is not accurate when used for evaluating 3D quality.
Dorsaf Sebai   +2 more
doaj   +1 more source

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

open access: yes2016 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   +3 more
openaire   +3 more sources

New Fast Fall Detection Method Based on Spatio-Temporal Context Tracking of Head by Using Depth Images

open access: yesSensors, 2015
In order to deal with the problem of projection occurring in fall detection with two-dimensional (2D) grey or color images, this paper proposed a robust fall detection method based on spatio-temporal context tracking over three-dimensional (3D) depth ...
Lei Yang   +3 more
doaj   +1 more source

Rapid Characterization of Vegetation Structure with a Microsoft Kinect Sensor

open access: yesSensors, 2013
The importance of vegetation structure and biomass in controlling land-atmosphere exchange is widely recognized, but measurements of canopy structure are challenging, time consuming, and often rely on destructive methods.
George Azzari   +2 more
doaj   +1 more source

Underwater Depth Estimation for Spherical Images

open access: yesJournal of Robotics, 2021
This paper proposes a method for monocular underwater depth estimation, which is an open problem in robotics and computer vision. To this end, we leverage publicly available in-air RGB-D image pairs for underwater depth estimation in the spherical domain
Jiadi Cui   +4 more
doaj   +1 more source

Dynamic Pose Estimation Using Multiple RGB-D Cameras

open access: yesSensors, 2018
Human poses are difficult to estimate due to the complicated body structure and the self-occlusion problem. In this paper, we introduce a marker-less system for human pose estimation by detecting and tracking key body parts, namely the head, hands, and ...
Sungjin Hong, Yejin Kim
doaj   +1 more source

Home - About - Disclaimer - Privacy