By Dominique Brunet, Edward R. Vrscay, Zhou Wang (auth.), Mohamed Kamel, Aurélio Campilho (eds.)
This ebook constitutes the refereed complaints of the sixth overseas convention on photo research and popularity, ICIAR 2009, held in Halifax, Canada, in July 2009.
The ninety three revised complete papers offered have been conscientiously reviewed and chosen from 164 submissions. The papers are equipped in topical sections on photo and video processing and research; photo segmentation; snapshot and video retrieval and indexing; development research and popularity; biometrics face attractiveness; form research; movement research and monitoring; 3D photograph research; biomedical snapshot research; rfile research and applications.
Read Online or Download Image Analysis and Recognition: 6th International Conference, ICIAR 2009, Halifax, Canada, July 6-8, 2009. Proceedings PDF
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This ebook constitutes the refereed court cases of the sixth foreign convention on picture research and popularity, ICIAR 2009, held in Halifax, Canada, in July 2009. The ninety three revised complete papers provided have been conscientiously reviewed and chosen from 164 submissions. The papers are prepared in topical sections on picture and video processing and research; photograph segmentation; snapshot and video retrieval and indexing; development research and popularity; biometrics face reputation; form research; movement research and monitoring; 3D photo research; biomedical picture research; rfile research and purposes.
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Additional info for Image Analysis and Recognition: 6th International Conference, ICIAR 2009, Halifax, Canada, July 6-8, 2009. Proceedings
Brand Fig. 1. Fast darting with backpropagation. Even though many unconnected groups of pixels are removed, contours are well preserved—even the pixel-wide tether lines. Figure 2 shows the darts. artifacts and enables carving in XYT (video) , but computation is quite slow and limited to greedy seam removal. Curiously, a more efficient formulation was available1 . This paper introduces algorithms for image darting—inserting and/or removing pixels to make an image fit a new boundary, much as a tailor darts a piece of fabric to fit a mannequin.
Edge-Preserving Image Reconstruction 5 21 Conclusion We introduced the idea of “implicitly interacting” discontinuities by means of an additional penalty term operating on horizontal and vertical high-frequency subbands; the associated increase in optimization complexity is small compared to boolean explicit line processes. We also provided an eﬃcient half-quadratic optimization algorithm which converges even when the cost function to be minimized is non-convex. The main advantage of our model with respect to standard edge-preserving regularization is to preserve boundary sharpness while smoothing contour lines.
Formally, ∀1≤i≤I;1≤ j≤J x1 j = 1, xI j = Inew , xi j ≤ xi+1, j ≤ xi j + 1. , nonrigid motions of related pixels). These conditions are flagged by auxiliary indicator variables. We flag a horizontal adjacency caused by the occlusion of k pixels to the right of pixel i j with variable ai jk ≥ max(0, 1 − xi+k+1, j + xi j ). We flag a vertical adjacency caused by a k-pixel image shear with variable si jk ≥ max(0, 1 − xi+k, j+1 + xi j ) . For selected points along an image contour one 1 As a historical aside, the idea of forward energy, its minimal graph-cut formulation, and the extension of that to XYT were originally proposed to the seam carving authors at a seminar .