scholarly journals Morphing a Stereogram into Hologram

2020 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Enrique Canessa ◽  
Livio Tenze
Keyword(s):  
Light Field ◽  
Three Dimensional ◽  
Lookup Table ◽  
Two Dimensional ◽  
3D Display ◽  
3D Streaming ◽  
Looking Glass ◽  
2D Images ◽  
Light Field Rendering

We developed a method to transform stereoscopic two-dimensional (2D) images into holograms via unsupervised morphing deformations between left (L) and right (R) input images. By using robust DeepFlow and light-field rendering algorithms, we established correlations between a 2D scene and its three-dimensional (3D) display on a Looking Glass HoloPlay monitor. The possibility of applying this method, together with a lookup table for multi-view glasses-free 3D streaming with a stereo webcam, was also analyzed.

scholarly journals Full-chain modeling and performance analysis of integral imaging three-dimensional display system

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Ying Yuan ◽  
Xiaorui Wang ◽  
Yang Yang ◽  
Hang Yuan ◽  
Chao Zhang ◽  
...  
Keyword(s):  
Optimization Design ◽  
Quality Evaluation ◽  
Light Field ◽  
Three Dimensional ◽  
Display System ◽  
3D Display ◽  
Performance Characterization ◽  
Integral Imaging ◽  
Characterization Model ◽  
Display Quality

Abstract The full-chain system performance characterization is very important for the optimization design of an integral imaging three-dimensional (3D) display system. In this paper, the acquisition and display processes of 3D scene will be treated as a complete light field information transmission process. The full-chain performance characterization model of an integral imaging 3D display system is established, which uses the 3D voxel, the image depth, and the field of view of the reconstructed images as the 3D display quality evaluation indicators. Unlike most of the previous research results using the ideal integral imaging model, the proposed full-chain performance characterization model considering the diffraction effect and optical aberration of the microlens array, the sampling effect of the detector, 3D image data scaling, and the human visual system, can accurately describe the actual 3D light field transmission and convergence characteristics. The relationships between key parameters of an integral imaging 3D display system and the 3D display quality evaluation indicators are analyzed and discussed by the simulation experiment. The results will be helpful for the optimization design of a high-quality integral imaging 3D display system.

scholarly journals Do 3D Face Images Capture Cues of Strength, Weight, and Height Better than 2D Face Images do?

2021 ◽  
Vol 7 (3) ◽  
pp. 209-219
Author(s):  
Iris J Holzleitner ◽  
Alex L Jones ◽  
Kieran J O’Shea ◽  
Rachel Cassar ◽  
Vanessa Fasolt ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Physical Characteristics ◽  
Two Dimensional ◽  
3D Images ◽  
3D Face ◽  
Face Images ◽  
Similar Accuracy ◽  
2D And 3D ◽  
2D Images ◽  
Better Than

Abstract Objectives A large literature exists investigating the extent to which physical characteristics (e.g., strength, weight, and height) can be accurately assessed from face images. While most of these studies have employed two-dimensional (2D) face images as stimuli, some recent studies have used three-dimensional (3D) face images because they may contain cues not visible in 2D face images. As equipment required for 3D face images is considerably more expensive than that required for 2D face images, we here investigated how perceptual ratings of physical characteristics from 2D and 3D face images compare. Methods We tested whether 3D face images capture cues of strength, weight, and height better than 2D face images do by directly comparing the accuracy of strength, weight, and height ratings of 182 2D and 3D face images taken simultaneously. Strength, height and weight were rated by 66, 59 and 52 raters respectively, who viewed both 2D and 3D images. Results In line with previous studies, we found that weight and height can be judged somewhat accurately from faces; contrary to previous research, we found that people were relatively inaccurate at assessing strength. We found no evidence that physical characteristics could be judged more accurately from 3D than 2D images. Conclusion Our results suggest physical characteristics are perceived with similar accuracy from 2D and 3D face images. They also suggest that the substantial costs associated with collecting 3D face scans may not be justified for research on the accuracy of facial judgments of physical characteristics.

scholarly journals Cephalometric measurements from 3D reconstructed images compared with conventional 2D images

2011 ◽  
Vol 81 (5) ◽  
pp. 856-864 ◽  
Author(s):  
Natalia Zamora ◽  
Jose M. Llamas ◽  
Rosa Cibrián ◽  
Jose L. Gandia ◽  
Vanessa Paredes
Keyword(s):  
Three Dimensional ◽  
Cone Beam ◽  
Two Dimensional ◽  
Linear Measurements ◽  
3D Reconstructions ◽  
Software Packages ◽  
Mandibular Plane ◽  
Different Types ◽  
Cephalometric Measurements ◽  
2D Images

Abstract Objective: To assess whether the values of different measurements taken on three-dimensional (3D) reconstructions from cone-beam computed tomography (CBCT) are comparable with those taken on two-dimensional (2D) images from conventional lateral cephalometric radiographs (LCRs) and to examine if there are differences between the different types of CBCT software when taking those measurements. Material and Methods: Eight patients were selected who had both an LRC and a CBCT. The 3D reconstructions of each patient in the CBCT were evaluated using two different software packages, NemoCeph 3D and InVivo5. An observer took 10 angular and 3 linear measurements on each of the three types of record on two different occasions. Results: Intraobserver reliability was high except for the mandibular plane and facial cone (from the LCR), the Na-Ans distance (using NemoCeph 3D), and facial cone and the Ans-Me distance (using InVivo5). No statistically significant differences were found for the angular and linear measurements between the LCRs and the CBCTs for any measurement, and the correlation levels were high for all measurements. Conclusion: No statistically significant differences were found between the angular and linear measurements taken with the LCR and those taken with the CBCT. Neither were there any statistically significant differences between the angular or linear measurements using the two CBCT software packages.

scholarly journals A toolbox for volumetric visualization of light properties

2019 ◽  
Vol 51 (6) ◽  
pp. 838-857
Author(s):  
T Kartashova ◽  
H de Ridder ◽  
SF te Pas ◽  
SC Pont
Keyword(s):  
Light Field ◽  
Three Dimensional ◽  
Complex Problem ◽  
Easy Access ◽  
Two Dimensional ◽  
Web Based ◽  
Primary Qualities ◽  
Third Stage ◽  
Primary Direction ◽  
Conventional Methods

In this paper, we introduce a toolbox for the perceptually based visualization of light in a volume, focusing on the visual effects of illumination. First, our visualizations extend the conventional methods from a two-dimensional representation on surfaces to the whole volume of a scene. Second, we extend the conventional methods from showing only light intensity to visualizing three light properties (mean illuminance, primary direction and diffuseness). To make our methods generally available and easily accessible, we provide a web-based tool, to which everybody can upload data, measured by a cubic or simple illuminance meter or even a smartphone-app, and generate a variety of three-dimensional visualizations of the light field. The importance of considering the light field in its full complexity (and thus as a three-dimensional vector field instead of its two-dimensional sections) is widely acknowledged. Our toolbox allows easy access to sophisticated methods for analysing the spatial distribution of light and its primary qualities as well as how they vary throughout space. It is our hope that our results raise interest in ‘third stage’ approaches to lighting research and design, and the toolbox offers a practical solution to this complex problem.

scholarly journals Complications and Avoidance in Neurointerventional Surgery

2018 ◽  
Vol 07 (02) ◽  
pp. 090-095
Author(s):  
Girish Rajpal ◽  
Noufal Basheer
Keyword(s):  
Minimally Invasive ◽  
Complication Rate ◽  
Three Dimensional ◽  
Target Lesion ◽  
Minimally Invasive Technique ◽  
Invasive Technique ◽  
Two Dimensional ◽  
Vascular Neurosurgery ◽  
2D Images

AbstractBecause neurointerventional surgery is a minimally invasive technique does not mean that it is qualified for complication-free procedures. Rather working about 2 m away from the three-dimensional (3D) target lesion and looking at two-dimensional (2D) images makes it one of the most complication-prone subspecialties. Advancement in hardwares, techniques, and technologies with continuous ability to learn and modify accordingly can only keep the complication rate low as compared with traditional vascular neurosurgery.

48.2: Light field rendering of multi-view contents for high density light field 3D display

2013 ◽  
Vol 44 (1) ◽  
pp. 667-670 ◽  
Author(s):  
Juyong Park ◽  
Dongkyung Nam ◽  
Seo Young Choi ◽  
Jin-Ho Lee ◽  
Du Sik Park ◽  
...  
Keyword(s):  
Light Field ◽  
High Density ◽  
3D Display ◽  
Light Field Rendering

Efficient Light-Field Rendering Using Depth Maps for 100-Mpixel Multi-Projection 3D Display

2015 ◽  
Vol 11 (10) ◽  
pp. 792-799 ◽  
Author(s):  
Young Ju Jeong ◽  
Jin-Ho Lee ◽  
Yang Ho Cho ◽  
Dongkyung Nam ◽  
Du-Sik Park ◽  
...  
Keyword(s):  
Light Field ◽  
3D Display ◽  
Depth Maps ◽  
Light Field Rendering

An Efficient Technique for Three-Dimensional Image Visualization Through Two-Dimensional Images for Medical Data

2017 ◽  
Vol 29 (1) ◽  
pp. 100-109
Author(s):  
Ganesan Gunasekaran ◽  
Meenakshisundaram Venkatesan
Keyword(s):  
Three Dimensional ◽  
Main Idea ◽  
Two Dimensional ◽  
3D Image ◽  
Image Visualization ◽  
Good Determination ◽  
The Given ◽  
Geometric Primitives ◽  
2D Images

Abstract The main idea behind this work is to present three-dimensional (3D) image visualization through two-dimensional (2D) images that comprise various images. 3D image visualization is one of the essential methods for excerpting data from given pieces. The main goal of this work is to figure out the outlines of the given 3D geometric primitives in each part, and then integrate these outlines or frames to reconstruct 3D geometric primitives. The proposed technique is very useful and can be applied to many kinds of images. The experimental results showed a very good determination of the reconstructing process of 2D images.

Eye Tracking based Glasses-free 3D Display by Dynamic Light Field Rendering

2016 ◽  
Author(s):  
Seok Lee ◽  
Juyong Park ◽  
Jingu Heo ◽  
Byungmin Kang ◽  
Dongwoo Kang ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Light Field ◽  
3D Display ◽  
Light Field Rendering
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