Download Advances in Image and Video Technology: 5th Pacific Rim by Deepak Ghimire, Joonwhoan Lee (auth.), Yo-Sung Ho (eds.) PDF

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

The two-volume court cases 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 subjects lined are: image/video coding and transmission; image/video processing and research; imaging and pics and visualization; image/video retrieval and scene knowing; biomedical snapshot processing and research; biometrics and snapshot forensics; and machine imaginative and prescient applications.

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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

Example text

5. The top row shows the results with adaptive regularization, and the bottom shows those without it, where w(p) was fixed to 2000 for all pixels. When λ became larger (meaning stronger regularization), the resulting images by SR-based synthesis converged to I(t)↑ in both cases. Meanwhile, when λ became smaller (meaning weaker regularization), the resulting images were sharper, but some regions, such as occlusion boundaries, became noisy due to mis-registrations. 0 × 10−13 because the regions with less reliable depth are more strongly regularized.

Fig. 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.

Unless the occlusions were handled properly, depth estimation was erroneous around the occlusion boundaries, as shown in (d). When the block matching was disabled by setting the block size to 1×1 pixels, the depth map became granular, as shown in (e). When depth refinement was skipped, the depth map took only the quantized values, as shown in (f). Next, we evaluated the adaptive regularization scheme in SR-based synthesis, which is represented by Eq. (14). Images synthesized with different regularization factors (λ in Eq.

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