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TIP
2010
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13 years 5 months ago
Variable Density Compressed Image Sampling
Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a reduced number of linear projection measurements at sub-Nyquist sampling rates....
Zhongmin Wang, Gonzalo R. Arce
EUROSSC
2007
Springer
14 years 1 months ago
The Design of a Pressure Sensing Floor for Movement-Based Human Computer Interaction
This paper addresses the design of a large area, high resolution, networked pressure sensing floor with primary application in movement-based human-computer interaction (M-HCI). T...
Sankar Rangarajan, Assegid Kidané, Gang Qia...
DCC
2008
IEEE
14 years 7 months ago
Dimension Reduction and Expansion: Distributed Source Coding in a Noisy Environment
We studied the problem of distributed coding and transmission of intercorrelated sources with memory. Different from the conventional distributed source coding structure which rel...
Anna N. Kim, Fredrik Hekland
CVPR
2012
IEEE
11 years 9 months ago
Compressive depth map acquisition using a single photon-counting detector: Parametric signal processing meets sparsity
Active range acquisition systems such as light detection and ranging (LIDAR) and time-of-flight (TOF) cameras achieve high depth resolution but suffer from poor spatial resolutio...
Andrea Colaco, Ahmed Kirmani, Gregory A. Howland, ...
ICIP
2008
IEEE
14 years 9 months ago
Localization of sparse image tampering via random projections
Hashes can be used to provide authentication of multimedia contents. In the case of images, a hash can be used to detect whether the data has been modified in an illegitimate way....
Marco Tagliasacchi, Giuseppe Valenzise, Stefano Tu...