digital still camera
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Author(s):  
Kazi Monowar Abedin ◽  
Awatif Rashid Al Jabri ◽  
Saleh Said Al-Shidhani ◽  
S.M. Mujibur Rahman
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2015 ◽  
Vol 64 (12) ◽  
pp. 881-887
Author(s):  
Yasutada SUZUKI ◽  
Naohiro SATO ◽  
Takashi NAKAMARU ◽  
Naoya MIYAJIMA ◽  
Susumu KAWAKUBO

2014 ◽  
Vol 11 (3) ◽  
pp. 2-15 ◽  
Author(s):  
I. Nikolova

Abstract This paper deals with the challenging task of acquiring stable image features in a sequence of images of the same scene taken under different viewing positions by a digital still camera. Two popular contemporary algorithms for discrete feature detection: SIFT and SURF are regarded. The results of the timing performance analysis of their sequential implementations are presented and discussed. The performance speedup analysis and scalability tests with multi-threading and GPU-based implementations are analyzed


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