Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Chong-Po Liao"'
Publikováno v:
ICIP
SURF is a robust and useful feature detector to various vision-based applications but lacks of the ability to detect symmetric objects. This paper proposes a new symmetrical SURF descriptor to detect all possible symmetric pairs via a mirroring trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86b6b4546de4635e95129c7cad874ccf
https://doi.org/10.1109/icip.2016.7532317
https://doi.org/10.1109/icip.2016.7532317
Publikováno v:
ICCE-TW
This paper proposes a novel Shift with Importance Sampling (SIS) scheme to improve the efficiency in pedestrian detection but maintain its high accuracy. For fast and efficient object detection, the cascade-Adaboost structure is the commonly-used app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22c74f808a4175c7e0e648ebd039843e
https://doi.org/10.1109/icce-tw.2014.6904057
https://doi.org/10.1109/icce-tw.2014.6904057