Advances in Visual Computing: Third International Symposium, by Pier-Luc St-Onge, Guillaume-Alexandre Bilodeau (auth.),

By Pier-Luc St-Onge, Guillaume-Alexandre Bilodeau (auth.), George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Nikos Paragios, Syeda-Mahmood Tanveer, Tao Ju, Zicheng Liu, Sabine Coquillart, Carolina Cruz-Neira, Torsten Müller, Tom Malzbender (eds.)

It is with nice excitement that we welcome you to the complaints of the third - ternational Symposium on visible Computing (ISVC 2007) held in Lake Tahoe, Nevada/California. ISVC o?ers a standard umbrella for the 4 major components of visualcomputing together with vision,graphics,visualization,andvirtualreality.Its objective is to supply a discussion board for researchers, scientists, engineers and practitioners in the course of the international to give their most recent examine ?ndings, principles, devel- ments, and functions within the broader sector of visible computing. Thisyear,theprogramconsistedof14oralsessions,1postersession,6special tracks, and six keynote displays. Following a really profitable ISVC 2006, the reaction to the decision for papers used to be nearly both powerful; we bought over 270 submissions for the most symposium from which we authorized seventy seven papers for oral presentation and forty two papers for poster presentation. specified tune papers have been solicited individually in the course of the Organizing and software Committees of every tune. a complete of 32 papers have been authorized for oral presentation and five papers for poster presentation within the certain tracks.

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Extra info for Advances in Visual Computing: Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part II

Sample text

However, figure 1 shows two different regions where small angular errors are found, and no method produced a globally smaller angular error. Therefore, to benefit from the advantages of both energy functions we propose a hybrid data constraint that combines both brightness and gradient constancy constraints, ∫ ( ) E (u ,v ) = ψ 1 BC 2 + γ GCx 2 + γ GCy 2 + (BC + γ GCx + γ GCy ) 2 + Ω ∫ αψ (| ∇u | 2 Ω 2 ) + | ∇v |2 dxdy (12) BC = I x u + I y v + I t , GxC = I xx u + I xy v + I xt , GyC = I yx u + I yy v + I yt where γ is constant.

3, pp. 32–36.

We evaluate the 18 A. Fahad and T. ca/pub/vision. We compare the average angular error defined by Barron et al. [8] with respect to the ground truth flow field, ⎛ u cue + v cv e + 1 Angular Error = arccos ⎜ ⎜ 2 2 2 2 ⎝ (uc + v c + 1)(u e + v e + 1) ⎞ ⎟ ⎟ ⎠ (14) where (uc,vc) denotes the correct flow, and (ue,ve) is the estimated flow. Table 2 shows the results of combined gradient constraint using two quadratic errors in equation (9) which reflect better results than using only the gradient constraint with one quadratic error as in Table 1.

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