Read e-book online Advances in Image and Video Technology: 5th Pacific Rim PDF

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

The two-volume lawsuits LNCS 7087 + LNCS 7088 represent the complaints of the fifth Pacific Rim Symposium on photo and Video expertise, PSIVT 2011, held in Gwangju, Korea, in November 2011. the whole of seventy one revised papers used to be conscientiously reviewed and chosen from 168 submissions. the themes coated are: image/video coding and transmission; image/video processing and research; imaging and portraits and visualization; image/video retrieval and scene knowing; biomedical photograph processing and research; biometrics and photo forensics; and machine imaginative and prescient applications.

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

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1. 34 years). edu/). There are 23 males and 46 females. The amygdalae and hippocampi were manually segmented by a trained individual rater. Brain tissues in the MRI scans were first segmented using Brain Extraction Tool (BET) [17]. Then we performed a nonlinear image registration using the diffeomorphic shape and intensity averaging technique with cross-correlation as similarity metric through Advanced Normalization Tools (ANTS) [18]. A study-specific unbiased template was constructed from a random subsample of 10 subjects.

In this subsection, the coordinate system of the resulting depth map D is set to the target viewpoint, and we introduce three modifications to the original semi-global stereo method [6,7]. First, disparities cannot uniquely be defined to represent depth in our problem because the target viewpoint is set to an arbitrary position. Instead of using disparities, we quantize the depth space into N levels as 1 1 n − 1/2 = + zn zmax N 1 zmin − 1 zmax (n = 1, . . , N ), (4) Super-Resolved Free-Viewpoint Image Synthesis 27 where zmin and zmax are the minimum and maximum of the object depths.

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. 4 Super-Resolved Free-Viewpoint Image Synthesis After the depth estimation from the target viewpoint, which was described in ˆ cost map Sˆmin , and synthesized image I(t), Section 3, we have a depth map D, with the same resolutions as those of the input images. As the pre-process of super-resolution, the images are upsampled to the target resolution by using a standard interpolation method (in this work, bicubic interpolation), to obtain ˆ ↑ , Sˆmin↑ , and I(t)↑ .

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