Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Rafid Siddiqui"'
Autor:
Dr. J. Rafid Siddiqui
The subtleness of human facial expressions and a large degree of variation in the level of intensity to which a human expresses them is what makes it challenging to robustly classify and generate images of facial expressions. Lack of good quality dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::497edc713af65a7e34fe73143cf53c09
https://doi.org/10.31219/osf.io/ygdrt
https://doi.org/10.31219/osf.io/ygdrt
Autor:
Siamak Khatibi, J. Rafid Siddiqui
Publikováno v:
IET Intelligent Transport Systems. 9:314-322
Every urban environment contains a rich set of dominant surfaces which can provide a solid foundation for visual odometry estimation. In this work visual odometry is robustly estimated by computing the motion of camera mounted on a vehicle. The propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4c9a00ee7fcf873a7f39de73eb1068c
https://doi.org/10.1049/iet-its.2014.0100
https://doi.org/10.1049/iet-its.2014.0100
Autor:
J. Rafid Siddiqui
Publikováno v:
Proceedings of the 1st International Conference on Graphics and Signal Processing.
Animals have evolved to restrict their sensing capabilities to certain region of electromagnetic spectrum. This is surprisingly a very narrow band on a vast scale which makes one think if there is a systematic bias underlying such selective filtratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6dd1b847b91dc5fbbe3031f009324db3
https://doi.org/10.1145/3121360.3121363
https://doi.org/10.1145/3121360.3121363
Publikováno v:
Machine Vision and Applications. 24:1229-1237
This paper presents a novel approach for the classification of planar surfaces in an unorganized point clouds. A feature-based planner surface detection method is proposed which classifies a point cloud data into planar and non-planar points by learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6823a3eae70fa91078bf770a29c3ef5d
https://doi.org/10.1007/s00138-013-0482-4
https://doi.org/10.1007/s00138-013-0482-4
Publikováno v:
ICRA
The highly percipient nature of human mind in avoiding sensory overload is a crucial factor which gives human vision an advantage over machine vision, the latter has otherwise powerful computational resources at its disposal given today's technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8239495411c9f71694dfb213ed1d2fb
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-51234
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-51234
Autor:
J. Rafid Siddiqui, Siamak Khatibi
Publikováno v:
Computer Science & Information Technology ( CS & IT ).
The problem of robust extraction of visual odometry from a sequence of images obtained by an eye in hand camera configuration is addressed. A novel approach toward solving planar template based tracking is proposed which performs a non-linear image a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c493caf5447eb3521a2cb7b3205713f
https://doi.org/10.5121/csit.2014.4126
https://doi.org/10.5121/csit.2014.4126
Autor:
Rafid Siddiqui, Craig A. Lindley
Publikováno v:
Autonomous and Intelligent Systems ISBN: 9783642313677
AIS
AIS
Place recognition is important navigation ability for autonomous navigation of mobile robots. Visual cues extracted from images provide a way to represent and recognize visited places. In this article, a multi-cue based place learning algorithm is pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::304db58082693ea49b9f71a1ee5a491e
https://doi.org/10.1007/978-3-642-31368-4_7
https://doi.org/10.1007/978-3-642-31368-4_7
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Siddiqui, J.1 rafid.siddiqui@bth.se, Havaei, Mohammad1, Khatibi, Siamak1, Lindley, Craig2 craig.lindley@csiro.au
Publikováno v:
Machine Vision & Applications. Aug2013, Vol. 24 Issue 6, p1229-1237. 9p. 1 Color Photograph, 4 Diagrams, 3 Charts, 5 Graphs.
Publikováno v:
2016 IEEE International Conference on Robotics & Automation (ICRA); 2016, p5766-5773, 8p