Storage Retrieval

Download Computer Vision -- ACCV 2014: 12th Asian Conference on by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang PDF

By Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang

The five-volume set LNCS 9003--9007 constitutes the completely refereed post-conference court cases of the twelfth Asian convention on machine 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 geared up in topical sections on popularity; 3D imaginative and prescient; low-level imaginative and prescient and lines; segmentation; face and gesture, monitoring; stereo, physics, video and occasions; and poster classes 1-3.

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Additional resources for Computer Vision -- ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part IV

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Stat. 33, 1065–1076 (1962) 8. : Bilateral filtering for gray and color images. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 839–846 (1998) 9. : A common framework for nonlinear diffusion, adaptive smoothing, bilateral filtering and mean shift. Image Vis. Comput. 22, 73–81 (2004) 10. : Joint bilateral upsampling. ACM Trans. Graph. 26, 96:1–96:10 (2007) 11. : Domain transform for edge-aware image and video processing. ACM Trans. Graph. 30, 69:1–69:12 (2011) Accelerating the Distribution Estimation 17 12.

Fi,1 ), are then used to estimate parameters of Local Weighted Mean (LWM) [12] transformation. T = LW M (ψ(M ), ψ(fi,i )) This T can linearly transform faces from the rest of the sequence si according to the model face M . Finally, eye coordinates localized by a standard Haar featurebased cascaded eye detector are checked against the ASM coordinates and used to crop the transformed faces. 2 Temporal Interpolation Model Video samples with different frame lengths may cause biases in the feature extraction and classification stages.

Sig. Process. Image Commun. 28, 642–658 (2013) 14. : An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. PAMI 26, 1124–1137 (2004) 15. : Methods for comparing scanpaths and saliency maps: strengths and weaknesses. Behav. Res. Method 1, 1–16 (2012) 16. : Nonlinear dimensionality reduction by locally linear embedding. Science 5500, 2323–2326 (2000) 17. : Algorithms for non-negative matrix factorization. In: Advances in Neural Information Processing System, (NIPS) (2000) 18.

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