Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Stepan Obdrzalek"'
Autor:
Jiri Matas, Tomas Hodan, Xenophon Zabulis, Manolis I. A. Lourakis, Stepan Obdrzalek, Pavel Haluza
Publikováno v:
WACV
We introduce T-LESS, a new public dataset for estimating the 6D pose, i.e. translation and rotation, of texture-less rigid objects. The dataset features thirty industry-relevant objects with no significant texture and no discriminative color or refle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1cfa201a4c50f2252378e2860136359
https://doi.org/10.1109/wacv.2017.103
https://doi.org/10.1109/wacv.2017.103
Autor:
Jonathan Howell, Václav Hlaváč, Hilary Buxton, Michael Zillich, Gerald Umgeher, Kingsley Sage, Wolfgang Ponweiser, Christoph Eberst, Stepan Obdrzalek, Jiri Matas, Antonis A. Argyros, Markus Vincze
Publikováno v:
Computer Vision and Image Understanding. 113:682-692
Interpretation of human activity is primarily known from surveillance and video analysis tasks and concerned with the persons alone. In this paper we present an integrated system that gives a natural language interpretation of activities where a pers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dceb7b7b4153bc1979dcc4281a5380b7
https://doi.org/10.1016/j.cviu.2008.10.008
https://doi.org/10.1016/j.cviu.2008.10.008
Publikováno v:
IROS
Despite their ubiquitous presence, texture-less objects present significant challenges to contemporary visual object detection and localization algorithms. This paper proposes a practical method for the detection and accurate 3D localization of multi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91f3564f71f46d23e1803b72981a49fe
https://doi.org/10.1109/iros.2015.7354005
https://doi.org/10.1109/iros.2015.7354005
Although the positive effects of exercise on the well-being and quality of independent living for older adults are well accepted, many elderly individuals lack access to exercise facilities, or the skills and motivation to perform exercise at home. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08e80bc4d8a058a327be2017e6c2bd84
https://europepmc.org/articles/PMC4835340/
https://europepmc.org/articles/PMC4835340/
Autor:
Ruzena Bajcsy, Ferda Ofli, Michael Pavel, Edmund Seto, Holly Jimison, Stepan Obdrzalek, Gregorij Kurillo
Publikováno v:
EMBC
Scopus-Elsevier
Scopus-Elsevier
The Microsoft Kinect camera is becoming increasingly popular in many areas aside from entertainment, including human activity monitoring and rehabilitation. Many people, however, fail to consider the reliability and accuracy of the Kinect human pose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::485e50ed244c22f1d20fe197bdb896db
https://pubmed.ncbi.nlm.nih.gov/23366110
https://pubmed.ncbi.nlm.nih.gov/23366110
Autor:
Jiri Matas, Stepan Obdrzalek
Publikováno v:
Intelligent Vehicles Symposium
We present a procedure for egomotion estimation from visual input of a stereo pair of video cameras. The 3D egomotion problem, which has six degrees of freedom in general, is simplified to four dimensions and further decomposed to two two-dimensional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7785fd6e591a155ba3c924783866c71
https://doi.org/10.1109/ivs.2010.5548093
https://doi.org/10.1109/ivs.2010.5548093
Publikováno v:
CVPR Workshops
A novel method is proposed for the problem of frame-to-frame correspondence search in video sequences. The method, based on hashing of low-dimensional image descriptors, establishes dense correspondences and allows large motions. All image pixels are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b72aafb5d23085144a4cb38fcff654f4
https://doi.org/10.1109/cvprw.2008.4563130
https://doi.org/10.1109/cvprw.2008.4563130
Autor:
Jiri Matas, Stepan Obdrzalek
Publikováno v:
BMVC
Realistic approaches to large scale object recognition, i.e. for detection and localisation of hundreds or more objects, must support sub-linear time indexing. In the paper, we propose a method capable of recognising one of N objects in log(N) time.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::685e93572abad47720213057807f04ef
https://doi.org/10.5244/c.19.3
https://doi.org/10.5244/c.19.3
Autor:
Stepan Obdrzalek, Jiri Matas
Publikováno v:
BMVC
A novel approach to appearance based object recognition is introduced. The proposed method, based on matching of local image features, reliably recognises objects under very different viewing conditions. First, distinguished regions of data-dependent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57bf4ab38ac8242001455e9f86927b63
https://doi.org/10.5244/c.16.9
https://doi.org/10.5244/c.16.9
Autor:
Jiri Matas, Stepan Obdrzalek
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540438991
CIVR
CIVR
A novel approach to content-based image retrieval is presented. The method supports recognition of objects under a very wide range of viewing and illumination conditions and is robust to occlusion and background clutter. Starting from robustly detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d59c721d8a3319fd8f75a9ee68906b7
https://doi.org/10.1007/3-540-45479-9_34
https://doi.org/10.1007/3-540-45479-9_34