Results 251 to 260 of about 3,676,418 (303)

Monocular depth estimation via a detail semantic collaborative network for indoor scenes. [PDF]

Sci Rep
Song W, Cui X, Xie Y, Wang G, Ma J.
europepmc   +1 more source

Monocular Object-Level SLAM Enhanced by Joint Semantic Segmentation and Depth Estimation. [PDF]

Sensors (Basel)
Gao R, Qi Y.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

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

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
openaire   +2 more sources

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
openaire   +2 more sources

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
openaire   +2 more sources

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
openaire   +2 more sources

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   +2 more sources

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.
openaire   +2 more sources

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 ...
openaire   +1 more source