Constraining Object Features Using a Polarization Reflectance Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Rational Filters for Passive Depth from Defocus
International Journal of Computer Vision
Color measurement by imaging spectrometry
Computer Vision and Image Understanding
Depth from Defocus vs. Stereo: How Different Really Are They?
International Journal of Computer Vision - Special issue on computer vision research at the Technion
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Generalized Mosaicing: Wide Field of View Multispectral Imaging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Observing Shape from Defocused Images
International Journal of Computer Vision
Generalized Mosaicing: High Dynamic Range in a Wide Field of View
International Journal of Computer Vision
Adaptive Dynamic Range Imaging: Optical Control of Pixel Exposures Over Space and Time
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Transparent Surface Modeling from a Pair of Polarization Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Uncontrolled modulation imaging
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Jointly registering images in domain and range by piecewise linear comparametric analysis
IEEE Transactions on Image Processing
Visualization of high dynamic range images
IEEE Transactions on Image Processing
ACM SIGGRAPH 2007 courses
Programmable aperture photography: multiplexed light field acquisition
ACM SIGGRAPH 2008 papers
Multi-Spectral Imaging by Optimized Wide Band Illumination
International Journal of Computer Vision
Uncontrolled modulation imaging
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Computational plenoptic imaging
ACM SIGGRAPH 2012 Courses
Colour matching function learning
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
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To obtain high dynamic range or hyperspectral images, multiple frames of the same field of view are acquired while the imaging settings are modulated; images are taken at different exposures or through different wavelength bands. A major problem associated with such modulations has been the need for perfect synchronization between image acquisition and modulation control. In the past, this problem has been addressed by using sophisticated servo-control mechanisms. In this work, we show that the process of modulation imaging can be made much simpler by using vision algorithms to automatically relate each acquired frame to its corresponding modulation level. This correspondence is determined solely from the acquired image sequence and does not require measurement or control of the modulation. The image acquisition and the modulation work continuously, in parallel, and independently. We refer to this approach as computational synchronization. It makes the imaging process simple and easy to implement. We have developed a prototype modulation imaging system that uses computational synchronization and used it to acquire high dynamic range and multispectral images.