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Fast PNN-based Clustering Using K-nearest Neighbor Graph. Pasi Fränti, Olli Virmajoki and Ville Hautamäki. Department of Computer Science, University of ...
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Dipole loudspeaker weights are found by converting monopole weights. Dipole weights reproduce a control soundfield on one side of the array. ICASSP 2017 ...
[11] S. Y. Park, S. Lee, and D. Youn, âRobust representation of spatial sound in stereo-to-multichannel upmix,â in Proc. 128th Audio Eng. Soc. Conv., London, UK ...
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allows for the augmented signal processing algorithms in C, known as SUT. ... Introduction of η-Hermitian: three sets of joint diagonalisation for matrices.
School of Electrical and Electronic Engineering, Nanyang Technological. University, Singapore ... spatial audio reproduction can be broadly categorized into two.
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Dec 18, 2015 - 2 / 26. New 3D audio standard: MPEG-H 3D Audio ... Definitions with Stereo Signal Model. Primary ... Single. NMF: [72]. Neural network: [73] ...
Vancouver, B.C. Canada V5A 1S6. ABSTRACT. A new color ..... Sciences and Engineering Research Council of Canada. 6. ... Canada, 1947. [9]. E. G. Miller ...
Multi-Shift Principal Component Analysis based Primary Component Extraction for Spatial Audio Reproduction. Digital Signal Processing Lab, School of ...
ball, to localize the view and/or register the current frame on the soccer field model .... appearance of certain patterns, e.g. âwhistleâ when âFoulâ,. âlong period of ...
Dictionary learning algorithm for Multi-Subject fMRI analysis via temporal ... â¢Dictionary learning (DL) methods have been suc- ... s0, dk 2 = 1 .... Visual Cue.
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Demand Response (DR) programs are another alternative for reducing costs at the MG. â Low energy consumers have been tradition- ally ignored in DR ...
Printing: INFORMATION FUSION USING PARTICLES INTERSECTION. Or Tslil | Avishy Carmi | Ben-Gurion University, Department of Mechanical Engineering.
Sparse defocus map After Guided by Hu and Haan [13] Filter [18]
(d)
3D Depth Cue
7
Input Grayscale Image
CLAHE
Hu and Haan s Blur Estimator
Guided Filter
Matting Laplacian
Depth Estimation
•
• • • • 8
• CLAHE [17] (contrast limited adaptive histogram equalization): preprocessing to improve the local contrast, and bring out more details for dark areas
(a)
(b)
(c)
(d)
Original
Depth Cue w/o CLAHE
CLAHE
Depth Cue w/ CLAHE 9
• Guided Filter [18]: attenuate the depth variance inside the regions to group the object regions in the same depth layer