- Tytuł:
- A proposal of biologically inspired hierarchical approach to object recognition
- Autorzy:
- Kozik, R.
- Powiązania:
- https://bibliotekanauki.pl/articles/333962.pdf
- Data publikacji:
- 2013
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
object recognition
hierarchical model
feature extraction
visual cortex
computer vision
rozpoznawanie obiektów
model hierarchiczny
kora wzrokowa
wizja komputerowa - Opis:
- In this article a biologically-inspired algorithm for object recognition is presented. The approach is based on a hierarchical HMAX cortex model that was initially proposed by Riesenhuber and Poggio [12] and later extended by Serre et al [13]. The results show that despite the modification that were undertaken to simplify the HMAX model (in order to make it feasible for a real-time solutions) it is possible to achieve high effectiveness for a one-class detection problems. Moreover, it is also demonstrated how the proposed algorithm can be successfully deployed on a low-cost Android smartphone.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2013, 22; 169-176
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł