- Tytuł:
- Multimodal face recognition method with two-dimensional hidden Markov model
- Autorzy:
- Bobulski, J.
- Powiązania:
- https://bibliotekanauki.pl/articles/201711.pdf
- Data publikacji:
- 2017
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
pattern recognition
biometrics
3D face recognition
hidden Markov model
rozpoznawanie wzorców
biometria
rozpoznawanie twarzy 3D
ukryty model Markowa - Opis:
- The paper presents a new solution for the face recognition based on two-dimensional hidden Markov models. The traditional HMM uses one-dimensional data vectors, which is a drawback in the case of 2D and 3D image processing, because part of the information is lost during the conversion to one-dimensional features vector. The paper presents a concept of the full ergodic 2DHMM, which can be used in 2D and 3D face recognition. The experimental results demonstrate that the system based on two dimensional hidden Markov models is able to achieve a good recognition rate for 2D, 3D and multimodal (2D+3D) face images recognition, and is faster than ICP method.
- Źródło:
-
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2017, 65, 1; 121-128
0239-7528 - Pojawia się w:
- Bulletin of the Polish Academy of Sciences. Technical Sciences
- Dostawca treści:
- Biblioteka Nauki
Artykuł