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Advances in Optics and Photonics, ISSN 1943-8206, 2013, Volume 5, Issue 4, pp. 456 - 535
The physical world around us is three-dimensional (3D), yet traditional display devices can show only two-dimensional (2D) flat images that lack depth (i.e.,... 
VOLUMETRIC 3D DISPLAY | VISUALIZATION | SYSTEM | PROJECTION | HOLOGRAPHY | OPTICS | SOLID-STATE | Human | Brain | Display devices | Flats | Images | Two dimensional | Three dimensional | Photonics
Journal Article
Journal of Display Technology, ISSN 1551-319X, 10/2009, Volume 5, Issue 10, pp. 391 - 397
Journal Article
Applied Optics, ISSN 1559-128X, 05/2016, Volume 55, Issue 13, pp. 3452 - 3455
A reflected-light-source (RLS)-based 3D display is proposed. This display consists of an RLS and a 2D display panel. The 2D display panel is located in front... 
Three-dimensional display systems | Optics | Usage | Research | Light | Brightness | Barriers | Holes | Reflection | Parallax | Slits | Two dimensional | Light sources
Journal Article
Optical Engineering, ISSN 0091-3286, 12/2016, Volume 55, Issue 12, pp. 123106 - 123106
With the advances in three-dimensional (3-D) display technology, stereo conversion has attracted much attention as it can alleviate the problem of stereoscopic... 
two-dimensional to three-dimensional conversion | human visual system | image type | three-dimensional display technology | depth estimation | system | human visual | OPTICS | MAP | IMAGE QUALITY ASSESSMENT
Journal Article
Journal of Display Technology, ISSN 1551-319X, 03/2015, Volume 11, Issue 3, pp. 292 - 295
A 3D display based on a microsphere-lens (MSL) array is proposed. This 3D display uses the MSL array to project the parallax images on a 2D display panel into... 
Microsphere-lens array | Three-dimensional displays | Two dimensional displays | Prototypes | Apertures | Educational institutions | Optical imaging | viewing angle | 3D display | Arrays | PHYSICS, APPLIED | OPTICS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Applied Optics, ISSN 1559-128X, 06/2014, Volume 53, Issue 18, pp. 4018 - 4022
An orthogonal-polarized directional backlight-based three-dimensional (3D) display is proposed. This backlight consists of an orthogonal-polarized backlight... 
PARALLAX BARRIERS | 3D DISPLAYS | OPTICS | Three-dimensional display systems | Usage | Polarization (Light) | Analysis | Crosstalk | Horizontal | Backlights | Parallax | Two dimensional | Low level | Pixels | Three dimensional
Journal Article
Optical Engineering, ISSN 0091-3286, 7/2014, Volume 53, Issue 7, pp. 073107 - 073107
An automatic geometrical calibration approach has been developed to calibrate a multiprojector-type light field (LF) display automatically and accurately. The... 
three-dimensional display | light field, multiprojector-type, calibration | light field | OPTICS | multiprojector-type | calibration | Automation | Images | Diffusers | Mapping | Calibration | Two dimensional | Three dimensional
Journal Article
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 5648 - 5656
3D shape models are becoming widely available and easier to capture, making available 3D information crucial for progress in object classification. Current... 
Training | Solid modeling | Three-dimensional displays | Shape | Two dimensional displays | Computer architecture | Rendering (computer graphics)
Conference Proceeding
2017 IEEE International Conference on Computer Vision (ICCV), ISSN 1550-5499, 10/2017, Volume 2017-, pp. 764 - 773
Convolutional neural networks (CNNs) are inherently limited to model geometric transformations due to the fixed geometric structures in their building modules.... 
Feature extraction | Convolution | Two dimensional displays | Kernel | Standards | Object detection
Conference Proceeding
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 1302 - 1310
We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric representation, which we refer to as... 
Training | Runtime | Two dimensional displays | Pose estimation | Detectors | Computer architecture | Benchmark testing
Conference Proceeding
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 146 - 155
Face alignment, which fits a face model to an image and extracts the semantic meanings of facial pixels, has been an important topic in CV community. However,... 
Solid modeling | Three-dimensional displays | Shape | Computational modeling | Two dimensional displays | Feature extraction | Face
Conference Proceeding
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 4724 - 4733
The paucity of videos in current action classification datasets (UCF-101 and HMDB-51) has made it difficult to identify good video architectures, as most... 
Solid modeling | Three-dimensional displays | Two dimensional displays | Feature extraction | Kinetic theory | Kernel | Videos
Conference Proceeding
Journal Article
IEEE Communications Letters, ISSN 1089-7798, 7/2019, Volume 23, Issue 10, pp. 1 - 1
We construct native binary two-dimensional (2D) binary cyclic codes capable of correcting multiple occurrences of multiple non-overlapping pre-defined 2D error... 
Shape | Frequency-domain analysis | Two dimensional displays | Encoding | Error correction codes | Decoding | Mathematical model
Journal Article
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 2432 - 2443
A key requirement for leveraging supervised deep learning methods is the availability of large, labeled datasets. Unfortunately, in the context of RGB-D scene... 
Surface reconstruction | Solid modeling | Three-dimensional displays | Semantics | Two dimensional displays | Sensors | Image reconstruction
Conference Proceeding
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 2463 - 2471
Generation of 3D data by deep neural networks has been attracting increasing attention in the research community. The majority of extant works resort to... 
Geometry | Training | Three-dimensional displays | Shape | Neural networks | Two dimensional displays | Image reconstruction
Conference Proceeding
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 4645 - 4653
We present an approach that uses a multi-camera system to train fine-grained detectors for keypoints that are prone to occlusion, such as the joints of a hand.... 
Training | Three-dimensional displays | Two dimensional displays | Training data | Detectors | Robustness | Videos
Conference Proceeding
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 4966 - 4975
This paper addresses the challenge of 3D full-body human pose estimation from a monocular image sequence. Here, two cases are considered: (i) the image... 
Solid modeling | Three-dimensional displays | Uncertainty | Two dimensional displays | Pose estimation | Cameras | Image sequences
Conference Proceeding
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 6526 - 6534
This paper aims at high-accuracy 3D object detection in autonomous driving scenario. We propose Multi-View 3D networks (MV3D), a sensory-fusion framework that... 
Birds | Three-dimensional displays | Laser radar | Proposals | Two dimensional displays | Object detection
Conference Proceeding
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