Results 241 to 250 of about 1,194,643 (283)

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
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Asymmetric depth estimation for multiview

2012 20th Signal Processing and Communications Applications Conference (SIU), 2012
A novel multi-view depth map estimation algorithm is proposed with low computational complexity and high accuracy, while meeting requirements of N-view plus N-depth representation. The algorithm exploits an aggregation methodology, namely permeability filtering (PF), through computationally efficient two-pass aggregation producing adaptively weighted ...
Cevahir Cigla, A. Aydin Alatan
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On defocus, diffusion and depth estimation

Pattern Recognition Letters, 2007
An intrinsic property of real aperture imaging has been that the observations tend to be defocused. This artifact has been used in an innovative manner by researchers for depth estimation, since the amount of defocus varies with varying depth in the scene. There have been various methods to model the defocus blur. We model the defocus process using the
Vinay P. Namboodiri, Subhasis Chaudhuri
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Absolute depth estimate in stereopsis

Journal of the Optical Society of America A, 1986
An analysis of decrease of accuracy in passive stereoscopic vision shows that in order to obtain absolute depth estimates useful for robotics (Δz < 1%) it is necessary to measure all mechanical parameters with an extremely high precision, to reach subpixel accuracy, and to match features between two rather different images.
VERRI, ALESSANDRO, TORRE V.
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Depth estimation with a practical camera

Procedings of the British Machine Vision Conference 2009, 2009
Given an off-the-shelf camera, one has the freedom to move the camera or play around with its intrinsic parameters such as zoom or aperture settings. We propose a framework for depth estimation from a set of calibrated images, captured under general camera motion and parameter variation.
Arnav V. Bhavsar, Ambasamudram N. Rajagopalan   +1 more
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Local stereoscopic depth estimation

Image and Vision Computing, 1994
Abstract A method is discussed as to how a fixating binocular observer can recover local depth information with a single step computation avoiding the correspondence problem motivated from recent findings about the architecture of biological visual systems.
Kai-Oliver Ludwig, Heiko Neumann, Bernd Neumann   +2 more
openaire   +1 more source

Depth estimation for ranking query optimization [PDF]

The VLDB Journal, 2009
A relational ranking query uses a scoring function to limit the results of a conventional query to a small number of the most relevant answers. The increasing popularity of this query paradigm has led to the introduction of specialized rank join operators that integrate the selection of top tuples with join processing.
Karl Schnaitter, Joshua Spiegel, Neoklis Polyzotis   +2 more
openaire   +1 more source

Source depth estimation in waveguide

The Journal of the Acoustical Society of America, 1984
In the present paper a high resolution approach of source depth estimation in waveguide has been proposed. The method was based on the mode filtering technique. It was well known that a high resolution estimator can be obtained by designing a vector orthogonal to the target signal component contained in the data vector, such as the maximum entropy ...
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Monocular Depth Estimation Using Relative Depth Maps

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
We propose a novel algorithm for monocular depth estimation using relative depth maps. First, using a convolutional neural network, we estimate relative depths between pairs of regions, as well as ordinary depths, at various scales. Second, we restore relative depth maps from selectively estimated data based on the rank-1 property of pairwise ...
Jaehan Lee, Chang-Su Kim 0001
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Joint Estimation of Depth, Reflectance and Illumination for Depth Refinement

2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 2015
In this paper we propose a method for joint estimation of depth, reflectance and illumination from a single RGB-D image for depth refinement. This is achieved by a simple optimization based approach with smoothness constraints on depth, reflectance and illumination.
Kichang Kim, Akihiko Torii, Masatoshi Okutomi   +2 more
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