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 photograph and Video expertise, PSIVT 2011, held in Gwangju, Korea, in November 2011. the entire of seventy one revised papers was once conscientiously reviewed and chosen from 168 submissions. the themes 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 photograph 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
Eq. 9) Fig. 3. Resulting images from various viewpoints by (top) blend-based synthesis and (bottom) SR-based synthesis. A demo video is available from our website. for our method. The input viewpoints were located at the corners of a square of 16 × 16 mm. The original images had 640 × 480 pixels in RGB color. We converted them to grayscale and reduced them to 160 × 120 pixels to use them as the input. The target viewpoints were located inside the square formed by the input viewpoints. Our method ﬁrst estimated a depth map with 160 × 120 pixels from a given target viewpoint, then generated a resulting image with 320 × 240 pixels from that viewpoint.
Beyond 150 eigenfunctions, the reconstruction error is negligible. 1 Results: General Linear Models on Surface Shapes Traditional Volumetric Analysis In the traditional volumetric approach, the volumes of amygdala and hippocampus binary mask were simply computed by counting the number of voxels within the mask. In order to account for the eﬀect of intersubject variability in brain size, the brain volume excluding cerebellum was computed and covariated in general linear models. 63, p < 10−8 ). Since amygdala and hippocampus volumes are dependent on the whole brain volume, we really need to factor out the brain volume in the general liner models.
3. The tuples of numbers below the images indicate the coordinates of the viewpoints according to the database notation, where the input viewpoints were described as (1, 6), (3, 6), (1, 8), and (3, 8). The ﬁgure shows that free-viewpoint images were successfully synthesized and that SR-based synthesis achieves better quality with ﬁner texture details. org/˜keita/. Super-Resolved Free-Viewpoint Image Synthesis 31 (a) Proposed (depth) (b) Proposed (cost Sˆmin ) (c) W/o global optimization (d) W/o occlusion handling (e) W/o block matching (f) W/o depth reﬁnement Fig.