By Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang
The five-volume set LNCS 9003--9007 constitutes the completely refereed post-conference lawsuits of the twelfth Asian convention on computing device imaginative and prescient, ACCV 2014, held in Singapore, Singapore, in November 2014.
The overall of 227 contributions awarded in those volumes was once conscientiously reviewed and chosen from 814 submissions. The papers are equipped in topical sections on attractiveness; 3D imaginative and prescient; low-level imaginative and prescient and contours; segmentation; face and gesture, monitoring; stereo, physics, video and occasions; and poster periods 1-3.
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Additional info for Computer Vision -- ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part I
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Our goal is to select a subset of retrieved images S ⊆ V. We ﬁrst deﬁne the relative ranking between a pair of images and then use it to measure the “inter-rank” consensus amongst multiple ranked lists. , rm,K ) , where rm,i is the position of image Ii in the m-th ranked list. Smaller value means higher rank. The relative 26 F. Yang et al. Fig. 2. The eﬀectiveness of the relative ranking consistency measure. The set V contains K = 100 images, from which we need to select an image into S, which currently contains two images.
Computer Vision -- ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part I by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang