Results 11 to 20 of about 553,780 (312)
Depth Correction of TOF-SIMS Depth Profiling Images Using the Total Ion Count Images
BiomoleculesDepth profiling time of flight secondary ion mass spectrometry (TOF-SIMS) enables imaging the distributions of unlabeled metabolites within cells. When depth profiling TOF-SIMS is performed on intact cells, the 3D renderings produced by stacking and ...
Melanie A. Brunet +2 more
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Caving Depth Classification by Feature Extraction in Cuttings Images [PDF]
Earth Sciences Research Journal, 2014 The estimation of caving depth is of particular interest in the oil industry. During the drilling process, the rock classification problem is studied to analyze the concentration of cuttings at the vibrating shale shakers through the classification of ...
Laura Viviana Galvis +2 more
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Proceedings 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
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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 +3 more
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Optics 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
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Frontiers 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
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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 +3 more
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DTS-Depth: Real-Time Single-Image Depth Estimation Using Depth-to-Space Image Construction [PDF]
Sensors, 2022 As most of the recent high-resolution depth-estimation algorithms are computationally so expensive that they cannot work in real time, the common solution is using a low-resolution input image to reduce the computational complexity. We propose a different approach, an efficient and real-time convolutional neural network-based depth-estimation algorithm
Hatem Ibrahem +2 more
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Single image depth estimation: An overview [PDF]
Digital Signal Processing, 2022 We review solutions to the problem of depth estimation, arguably the most important subtask in scene understanding. We focus on the single image depth estimation problem. Due to its properties, the single image depth estimation problem is currently best tackled with machine learning methods, most successfully with convolutional neural networks.
Alican Mertan +2 more
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Sparse Representations-based depth images quality assessment
Visual 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
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