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pro vyhledávání: '"Bojanic, P."'
Autor:
Bojanic, P.
Publikováno v:
Дискурс Пи, Vol 20, Iss 3, Pp 156-167 (2023)
Institutions are often rooted in violence and power, and war is one of them. At the same time, war continues to be one of the most important institutions that ensure the long-term unity of a group, albeit at the cost of confrontation with another, ri
Externí odkaz:
https://doaj.org/article/7fa806d9104041f29cc5ee684185b4a5
Autor:
Bojanić, David, Bartol, Kristijan, Forest, Josep, Gumhold, Stefan, Petković, Tomislav, Pribanić, Tomislav
Learning universal representations across different applications domain is an open research problem. In fact, finding universal architecture within the same application but across different types of datasets is still unsolved problem too, especially
Externí odkaz:
http://arxiv.org/abs/2211.16301
We address the problem of generalizability for multi-view 3D human pose estimation. The standard approach is to first detect 2D keypoints in images and then apply triangulation from multiple views. Even though the existing methods achieve remarkably
Externí odkaz:
http://arxiv.org/abs/2110.00280
We present a 3D printed adapter with planar mirrors for stereo reconstruction using front and back smartphone camera. The adapter presents a practical and low-cost solution for enabling any smartphone to be used as a stereo camera, which is currently
Externí odkaz:
http://arxiv.org/abs/2109.11872
In this paper, we analyze human male and female sex recognition problem and present a fully automated classification system using only 2D keypoints. The keypoints represent human joints. A keypoint set consists of 15 joints and the keypoint estimatio
Externí odkaz:
http://arxiv.org/abs/2011.03104
Time-of-flight (ToF) cameras are becoming increasingly popular for 3D imaging. Their optimal usage has been studied from the several aspects. One of the open research problems is the possibility of a multicamera interference problem when two or more
Externí odkaz:
http://arxiv.org/abs/2011.03102
Publikováno v:
15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019
This paper proposes to use keypoints as a self-supervision clue for learning depth map estimation from a collection of input images. As ground truth depth from real images is difficult to obtain, there are many unsupervised and self-supervised approa
Externí odkaz:
http://arxiv.org/abs/2011.03091
Autor:
Bartol, Kristijan, Bojanić, David, Pribanić, Tomislav, Petković, Tomislav, Donoso, Yago Diez, Mas, Joaquim Salvi
Publikováno v:
Proceedings of the 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA), Page(s): 64-69
The purpose of this study is to give a performance comparison between several classic hand-crafted and deep key-point detector and descriptor methods. In particular, we consider the following classical algorithms: SIFT, SURF, ORB, FAST, BRISK, MSER,
Externí odkaz:
http://arxiv.org/abs/2007.10000
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