Results 261 to 270 of about 3,776,208 (307)

Depth upsampling by depth prediction

2017 IEEE International Conference on Image Processing (ICIP), 2017
We propose a method for depth upsampling with the aid of high-resolution color image. The key novelty of our method is to exploit a spatio-temporal coherency between the color and depth image sequences. It allows us to perform a depth prediction using the responses from motion estimation in the color image sequence. The predicted depth image is able to
Atsuhiko Tsuchiya, Daisuke Sugimura, Takayuki Hamamoto   +2 more
openaire   +2 more sources

Depth estimation and depth enhancement by diffusion of depth features

2013 IEEE International Conference on Image Processing, 2013
Current trends in video technology indicate a significant increase in spatial and temporal resolution of video data. Recently, a linear-runtime feature diffusion algorithm was presented which aims for fast and accurate processing of such high resolution data.
Nikolce Stefanoski, Can Bal, Manuel Lang, Oliver Wang, Aljoscha Smolic   +4 more
openaire   +2 more sources

Depth-Stretch: Enhancing Depth Perception Without Depth

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017
A simple and efficient method is presented to enhance the depth perception of an image. The approach termed Depth-Stretch (D-stretch) is a tone mapping operation that is applied to the shading component of the given image. Although re-rendering a scene under geometric transformations typically requires extracting the 3D model of the scene, we show that
Hagit Hel-Or, Yacov Hel-Or, Renato Keshet   +2 more
openaire   +2 more sources

Corruption depth: Analysis of DNN depth for misclassification

Neural Networks, 2023
Many large and complex deep neural networks have been shown to provide higher performance on various computer vision tasks. However, very little is known about the relationship between the complexity of the input data along with the type of noise and the depth needed for correct classification.
Akshay Agarwal 0001, Mayank Vatsa, Richa Singh 0001, Nalini K. Ratha   +3 more
openaire   +2 more sources

The Depth of Compositions

Mathematics in Computer Science, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aubrey Blecher, Charlotte A. C. Brennan, Arnold Knopfmacher, Toufik Mansour   +3 more
openaire   +3 more sources

Depth propagation based on depth consistency

2012 International Conference on Wireless Communications and Signal Processing (WCSP), 2012
Semi-automatic 2D-to-3D conversion (2D-3D) is preferred due to its advantage of handling the trade-off between human participation and 3D conversion effects. In this paper, a novel depth propagation algorithm based on depth consistency is proposed, which can be widely employed in semi-automatic 2D-3D.
Dichangsheng Wang, Ju Liu, Yannan Ren, Chuan Ge, Wei Liu 0031, Yujun Li   +5 more
openaire   +1 more source

Depth Capture by Kinetic Depth and by Stereopsis

Perception, 2000
The perceived depth of regions within a stereogram lacking explicit disparity information can be captured by the surface structure of regions where disparity is explicit: stereo capture. In two experiments, observers estimated surface curvature/depth of an untextured object (a ‘ribbon’) superimposed on a cylinder textured with dots, the cylinder ...
K, Kham, R, Blake
openaire   +2 more sources

Computing Halfspace Depth and Regression Depth

Communications in Statistics - Simulation and Computation, 2013
In this article, we consider the exact computation of the famous halfspace depth (HD) and regression depth (RD) from the view of cutting a convex cone with hyperplanes. Two new algorithms are proposed for computing these two notions of depth. The first one is relatively straightforward but quite inefficient, whereas the second one is much faster. It is
Xiaohui Liu, Yijun Zuo
openaire   +2 more sources

Breadth and depth

Communications of the ACM, 2017
We all wear many hats, but make sure you have one that fits well.
openaire   +1 more source

Depth annotations: Designing depth of a single image for depth-based effects

Computers & Graphics, 2018
We present a novel pipeline to generate a depth map from a single image that can be used as input for a variety of artistic depth-based effects. In such a context, the depth maps do not have to be perfect but are rather designed with respect to a desired result.
Liao, J. (author), Shen, Shuheng (author), Eisemann, E. (author)   +2 more
openaire   +4 more sources