By Deepak Ghimire, Joonwhoan Lee (auth.), Yo-Sung Ho (eds.)
The two-volume complaints LNCS 7087 + LNCS 7088 represent the lawsuits of the fifth Pacific Rim Symposium on photograph and Video know-how, 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 subjects coated are: image/video coding and transmission; image/video processing and research; imaging and images and visualization; image/video retrieval and scene figuring out; biomedical snapshot processing and research; biometrics and photograph forensics; and machine imaginative and prescient applications.
Read or Download Advances in Image and Video Technology: 5th Pacific Rim Symposium, PSIVT 2011, Gwangju, South Korea, November 20-23, 2011, Proceedings, Part I PDF
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Extra info for Advances in Image and Video Technology: 5th Pacific Rim Symposium, PSIVT 2011, Gwangju, South Korea, November 20-23, 2011, Proceedings, Part I
The resulting depth map D the corresponding physical depths can also be obtained from Eq. (4) by simply treating n as a continuous value. Thus, without any inconsistency, the physical ˆ depth for D(p) can be described as zD(p) . ˆ ˆ Using the reﬁned depth map D(p), we can obtain the image from the target viewpoint, I(t) , whose resolution is the same as those of the input images. I(t) (p) = 1 M m I(m) (Pt→m (p, zD(p) )) ˆ (10) This image is referred to as a blend-based image because the input images are blended together to produce it.
6. -G. Kim et al. 03). Since our results are based on the volume of the whole amygdala and hippocampus, it is still unclear if there are any localized shape diﬀerences within the parts of amygdala and hippocampus. 2 Localized Subcortical Shape Analysis The length of displacement vector ﬁelds along the template surfaces were computed and smoothed as described in section 2. Then Length is regressed over the total brain volume and other variables: Length = β1 + β2 · Brain + β3 · Age + β4 · Gender + (9) where is zero mean Gaussian noise.
Edu/~chung/lb/. 4 Validation The heat kernel smoothing framework is validated on a unit sphere where the Laplace-Beltrami eigenfunctions are exactly given as spherical harmonics. We used a spherical mesh with 40,962 uniformly sampled mesh vertices. Let Ylm be the spherical harmonic of degree l and order m . Due to the multiplicity, there are 2l+1 eigenfunctions Yl,−l , · · · , Yl,l corresponding to the same eigenvalue l(l + 1). Further, any linear combination lm=−l βlm Ylm is an eigenfunction as well.