New PDF release: Advances in Image and Video Technology: 5th Pacific Rim

By Deepak Ghimire, Joonwhoan Lee (auth.), Yo-Sung Ho (eds.)

ISBN-10: 3642253660

ISBN-13: 9783642253669

The two-volume complaints LNCS 7087 + LNCS 7088 represent the lawsuits of the fifth Pacific Rim Symposium on snapshot and Video expertise, PSIVT 2011, held in Gwangju, Korea, in November 2011. the whole of seventy one revised papers was once conscientiously reviewed and chosen from 168 submissions. the themes lined are: image/video coding and transmission; image/video processing and research; imaging and pictures and visualization; image/video retrieval and scene realizing; biomedical photograph processing and research; biometrics and snapshot forensics; and computing device imaginative and prescient applications.

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Extra resources for Advances in Image and Video Technology: 5th Pacific Rim Symposium, PSIVT 2011, Gwangju, South Korea, November 20-23, 2011, Proceedings, Part I

Example text

Therefore, we use a simple, but efficient method utilizing the cumulative histogram. The following condition is used. | C (i − k ) − C (i + k ) |< T (5) where T is a threshold value and k is a user-defined parameter. i values satisfying the above condition are chosen as depth thresholds separating a depth map. , i0, i1, … , iL) are acquired. L depth planes are then generated. , L} (6) Fig. 2 shows an example of depth thresholds with which a depth map is divided into five depth planes. The red bar indicates the depth thresholds.

First, the photometric consistency cost C(p, n) is obtained for all pixels and all depth levels. Then, it is accumulated along the 1-D path with a direction r as Lr (p, n) = C(p, n) − min Lr (p−r, k) k + min {Lr (p−r, n), Lr (p−r, n−1) + λ1 , Lr (p−r, n+1) + λ1 , min Lr (p−r, k) + λ2 }. (2) k The accumulated costs for 8 or 16 directions (8 are used in this work) are added to yield S(p, n). Finally, a semi-optimal depth map D(p) is obtained through a minimum search over the depth levels for each pixel p.

5. As the number of eigenfunctions increases, our implementation converge to the ground truth. Fig. 4 shows the 133 computed eigenvalues compared against the ground truth. 32%). We also checked the accuracy of the constructed heat kernel. On a unit sphere, the heat kernel is given by ∞ l Kσ (p, q) = e−l(l+1)σ Ylm (p)Ylm (q). (7) l=0 m=−l We have taken the degree l = 85 expansion as the ground truth and compared it to the numerically constructed heat kernel. 5 (Fig. 4). The rate of convergence depends on the bandwidth.

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Advances in Image and Video Technology: 5th Pacific Rim Symposium, PSIVT 2011, Gwangju, South Korea, November 20-23, 2011, Proceedings, Part I by Deepak Ghimire, Joonwhoan Lee (auth.), Yo-Sung Ho (eds.)


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