Results 241 to 250 of about 1,186,680 (282)

Perceptual Monocular Depth Estimation

Neural Processing Letters, 2021
Monocular depth estimation (MDE), which is the task of using a single image to predict scene depths, has gained considerable interest, in large part owing to the popularity of applying deep learning methods to solve “computer vision problems”. Monocular cues provide sufficient data for humans to instantaneously extract an understanding of scene ...
Janice Pan, Alan C. Bovik
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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 Via Stage Classification

2008 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2008
We identify scene categorization as the first step towards efficient and robust depth estimation from single images. Categorizing the scene into one of the geometric classes greatly reduces the possibilities in subsequent phases. To that end, we introduce 15 typical 3D scene geometries, called stages, each having a unique depth profile and roughly ...
Nedović, V., Smeulders, A.W.M., Redert, A., Geusebroek, J.M.   +3 more
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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 ...
Jae-Han Lee, Chang-Su Kim
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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, Aljosa Smolic   +4 more
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Vertical Edge Depth Estimation

2008 International Conference on Computer Science and Software Engineering, 2008
Through binocular vision the fast disparity image is often desired for many applications, but, stereo vision still is an on studying subject. It is hard to get the precisely result because of the complex of the vision task. Vertical edges of depth images are presented much information of the stereo scene for further image processing.
Yiming Nie, Tao Wu, Xiangjing An, Hangen He   +3 more
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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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Egomotion without depth estimation

Annual Meeting Optical Society of America, 1989
The motion field for an observer moving through a static environment depends on the observer's translational and rotational velocities along with the distances to surface points. We show how the equations describing the motion field can be split by an exact algebraic manipulation to form three sets of equations, the first of which relates properties of
Allan Jepson, David Heeger
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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
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Single-image depth estimation using relative depths

Journal of Visual Communication and Image Representation, 2022
Jae-Han Lee, Chang-Su Kim
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