Shree Nayar
Shree Nayar’s areas of focus include making cameras that offer new forms of visual information, developing algorithms for improved “reading” of images, and building physics-based models for computer vision and graphics. His work impacts, improves, and creates applications across smartphone camera technology, machine vision, robotics, virtual reality, augmented reality, visual communication, computer graphics, videogame technology, and human-computer interfaces. Read more about Shree Nayar on SPIE News, or read about other SPIE Luminaries.
A geometric perspective on time-of-flight camera design (Conference Presentation)
(Proceedings of SPIE, 2019)
Towards a true spherical camera
(Proceedings of SPIE, 2009)
Jitter camera: a super-resolution video camera
(Proceedings of SPIE, 2006)
Imaging in multiplexed illumination
(Proceedings of SPIE, 2004)
Polarization mosaicing: high dynamic range and polarization imaging in a wide field of view
(Proceedings of SPIE, 2003)
Vision and the weather
(Proceedings of SPIE, 2001)
Real-time computation of depth from defocus
(Proceedings of SPIE, 1996)
Automatic generation of GRBF networks using the integral wavelet transform
(Proceedings of SPIE, 1995)
General learning algorithm for robot vision
(Proceedings of SPIE, 1994)
Parametric eigenspace representation for visual learning and recognition
(Proceedings of SPIE, 1993)
Object recognition based on reflectance and geometry
(Proceedings of SPIE, 1993)
Structured Highlight Inspection Of Specular Surfaces Using Extended Gaussian Images
(Proceedings of SPIE, 1989)
Sphereo: Determining Depth Using Two Specular Spheres And A Single Camera
(Proceedings of SPIE, 1989)
Determining Surface Orientations Of Specular Surfaces By Intensity Encoded Illumination
(Proceedings of SPIE, 1988)
