Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Tomislav Petkovic"'
Autor:
Tomislav Petkovic, Tomislav Pribanic
Publikováno v:
IEEE Access, Vol 10, Pp 90321-90337 (2022)
Structured light surface scanners are usually limited to a single projector and cannot provide a full surface profile in a single scan. Multiple projectors must be employed to extend the imaging area over the whole surface of the imaged object. Using
Externí odkaz:
https://doaj.org/article/5ee8fb692e4346a5aafc8c754300d38b
Publikováno v:
IEEE Access, Vol 9, Pp 67281-67301 (2021)
The understanding of body measurements and body shapes in and between populations is important and has many applications in medicine, surveying, the fashion industry, fitness, and entertainment. Body measurement using 3D surface scanning technologies
Externí odkaz:
https://doaj.org/article/37fa83a7412c4c0299c8a8d179c77b4f
Many different optical setups and patterns are proposed for structured light 3D surface scanning. It is difficult and time consuming to experimentally assess all imaging options and to select the best one for a particular application. An efficient wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0108c3fe36c212812a753ed0cc81b6b7
https://www.bib.irb.hr/1242928
https://www.bib.irb.hr/1242928
Publikováno v:
ISPA
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
Publikováno v:
Proceedings of 3DBODY.TECH 2020 - 11th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Online/Virtual, 17-18 November 2020.
Human pose estimation task takes images as input and extracts a set of locations representing the predefined body joints and the sparse connections between the joints, called the body parts. A pose can be estimated from single or multiple frames, in
Publikováno v:
Proceedings of 3DBODY.TECH 2020 - 11th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Online/Virtual, 17-18 November 2020.
3D registration is a process of aligning multiple three-dimensional (3D) data structures (such as point clouds or meshes) and merging them into one consistent and seamless 3D data structure. With the scope of 3D reconstruction, 3D human body scans fr
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 appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12d50630793457fcb60a1d24baa36e4a
http://arxiv.org/abs/2011.03091
http://arxiv.org/abs/2011.03091
Publikováno v:
VISIGRAPP (4: VISAPP)
A 3D structured light (SL) system is one powerful 3D imaging alternative which in the simplest case is composed of a single camera and a single projector. The performance of 3D SL system has been studied considering many aspects, for example, accurac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cba89c42e2cb741677f27c74ce4ab54c
https://www.bib.irb.hr/1093050
https://www.bib.irb.hr/1093050
Autor:
Yago Diez Donoso, Tomislav Pribanic, Joaquim Salvi Mas, Kristijan Bartol, Tomislav Petkovic, David Bojanic
Publikováno v:
ISPA
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73e7defeb543da7a7163b896b90ed09f
Autor:
David Bojanic, Tomislav Pribanic, Slavenka Petrak, Tomislav Petkovic, Andrej Jertec, Kristijan Bartol
Publikováno v:
ISPA
In the case of structured data, such as 2D images, many variants of traditional convolution neural network architectures have been successfully proposed. Learning from unstructured sets of data, such as sets of 3D point clouds, is a challenging task