Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Edel, B."'
Autor:
Yu, Shiqi, Liao, Rijun, An, Weizhi, Chen, Haifeng, García, Edel B., Huang, Yongzhen, Poh, Norman
Publikováno v:
In Pattern Recognition March 2019 87:179-189
Publikováno v:
Revista Cubana de Ciencias Informáticas, Vol 12, Iss 4, Pp 128-139 (2018)
En el presente trabajo es desarrollado un algoritmo para detectar las regiones salientes en las imágenes en el espacio de los quaternions. Para obtener mapas de regiones salientes, una pirámide Gaussiana es creada para procesar imágenes a diferent
Externí odkaz:
https://doaj.org/article/c5d569a5f132418f88c7198b78376bd7
Autor:
Diefenbeck, M., Schrader, C., Gras, F., Mückley, T., Schmidt, J., Zankovych, S., Bossert, J., Jandt, K.D., Völpel, A., Sigusch, B.W., Schubert, H., Bischoff, S., Pfister, W., Edel, B., Faucon, M., Finger, U.
Publikováno v:
In Biomaterials September 2016 101:156-164
Autor:
Morales-González, Annette, Acosta-Mendoza, Niusvel, Gago-Alonso, Andrés, García-Reyes, Edel B., Medina-Pagola, José E.
Publikováno v:
In Pattern Recognition January 2014 47(1):169-177
Autor:
Feng Zheng, Atiqur Rahman Ahad, Liang Wang, Yasushi Makihara, Yuxuan Zhang, Shiqi Yu, Haijun Xiong, Yuchao Yang, Beibei Lin, Binyuan Huang, Yongzhen Huang, Edel B. Garcia Reyes
Publikováno v:
IJCB
The Competition on Human Identification at a Distance 2021 (HID 2021) is to promote the research in human identification at a distance and to provide a benchmark to evaluate different methods. HID 2021 is the second follow-up from the first one, HID
Publikováno v:
IJCB
Gait recognition is an effective way to identify a person due to its non-contact and long-distance acquisition. In addition, the length of human limbs and the motion pattern of human from human skeletons have been proved to be effective features for
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Pattern Recognition. 87:179-189
The performance of gait recognition can be adversely affected by many sources of variation such as view angle, clothing, presence of and type of bag, posture, and occlusion, among others. To extract invariant gait features, we proposed a method calle
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030412982
ACPR (2)
ACPR (2)
Gait is a kind of attractive feature for human identification at a distance. It can be regarded as a kind of temporal signal. At the same time the human body shape can be regarded as the signal in the spatial domain. In the proposed method, we try to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4f80e38070c6fc3b94486b4fa8091f6
https://doi.org/10.1007/978-3-030-41299-9_22
https://doi.org/10.1007/978-3-030-41299-9_22
Publikováno v:
Pattern Recognition Letters. 115:1-3