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pro vyhledávání: '"Gotchev, Atanas P."'
Autor:
Ribeiro, Laura Goncalves, Suominen, Olli J., Bates, Philip, Peltonen, Sari, Morales, Emilio Ruiz, Gotchev, Atanas
Retro reflective markers can remarkably aid photogrammetry tasks in challenging visual environments. They have been demonstrated to be key enablers of pose estimation for remote handling in ITER. However, the strict requirements of the ITER environme
Externí odkaz:
http://arxiv.org/abs/2205.05486
The spatio-angular resolution of a light field (LF) display is a crucial factor for delivering adequate spatial image quality and eliciting an accommodation response. Previous studies have modelled retinal image formation with an LF display and evalu
Externí odkaz:
http://arxiv.org/abs/2204.00884
A key functional block of visual navigation system for intelligent autonomous vehicles is Loop Closure detection and subsequent relocalisation. State-of-the-Art methods still approach the problem as uni-directional along the direction of the previous
Externí odkaz:
http://arxiv.org/abs/2204.01524
Autor:
Ribeiro, Laura Goncalves, Suominen, Olli J., Peltonen, Sari, Morales, Emilio Ruiz, Gotchev, Atanas
Publikováno v:
Fusion Engineering and Design, Volume 161, 2020, 112080, ISSN 0920-3796
ITER's working environment is characterized by extreme conditions, that deem maintenance and inspection tasks to be carried out through remote handling. 3D Node is a hardware/software module that extracts critical information from the remote environm
Externí odkaz:
http://arxiv.org/abs/2007.12514
The image-based rendering approach using Shearlet Transform (ST) is one of the state-of-the-art Densely-Sampled Light Field (DSLF) reconstruction methods. It reconstructs Epipolar-Plane Images (EPIs) in image domain via an iterative regularization al
Externí odkaz:
http://arxiv.org/abs/2003.09294
The Image-Based Rendering (IBR) approach using Shearlet Transform (ST) is one of the most effective methods for Densely-Sampled Light Field (DSLF) reconstruction. The ST-based DSLF reconstruction typically relies on an iterative thresholding algorith
Externí odkaz:
http://arxiv.org/abs/2003.08865
Depth of field is an important factor of imaging systems that highly affects the quality of the acquired spatial information. Extended depth of field (EDoF) imaging is a challenging ill-posed problem and has been extensively addressed in the literatu
Externí odkaz:
http://arxiv.org/abs/1912.13423
We present a fast and accurate method for dense depth reconstruction from sparsely sampled light fields obtained using a synchronized camera array. In our method, the source images are over-segmented into non-overlapping compact superpixels that are
Externí odkaz:
http://arxiv.org/abs/1812.06856
In this article we develop an image based rendering technique based on light field reconstruction from a limited set of perspective views acquired by cameras. Our approach utilizes sparse representation of epipolar-plane images in a directionally sen
Externí odkaz:
http://arxiv.org/abs/1509.08969
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