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Volumn , Issue , 2009, Pages 1597-1604

Frequency-tuned salient region detection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE SEGMENTATION; OBJECT RECOGNITION;

EID: 70450186191     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206596     Document Type: Conference Paper
Times cited : (3847)

References (28)
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    • Comparison of feature combination strategies for saliency-based visual attention systems
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    • Itti, L.1    Koch, C.2
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    • Object-of-interest image segmentation based on human attention and semantic region clustering
    • B. C. Ko and J.-Y. Nam. Object-of-interest image segmentation based on human attention and semantic region clustering. Journal of Optical Society of America A, 23(10):2462- 2470, 2006.
    • (2006) Journal of Optical Society of America A , vol.23 , Issue.10 , pp. 2462-2470
    • Ko, B.C.1    Nam, J.-Y.2
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    • Shifts in selective visual attention: Towards the underlying neural circuitry
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    • Koch, C.1    Ullman, S.2
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    • Distinctive image features from scale-invariant feature points
    • D. G. Lowe. Distinctive image features from scale-invariant feature points. International Journal of Computer Vision, 60:91-110, 2004.
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    • Lowe, D.G.1
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    • A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information
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    • (1993) Journal of Neuroscience , vol.13 , pp. 4700-4719
    • Olshausen, B.1    Anderson, C.2    Essen, D.V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.