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Details of Grant 

EPSRC Reference: EP/N006259/1
Title: Computational Imaging and Analysis of Scene Appearance
Principal Investigator: Ghosh, Dr A
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Dept of Computing
Organisation: Imperial College London
Scheme: EPSRC Fellowship
Starts: 01 March 2016 Ends: 28 February 2021 Value (£): 1,004,089
EPSRC Research Topic Classifications:
Computer Graphics & Visual. Image & Vision Computing
EPSRC Industrial Sector Classifications:
Healthcare Creative Industries
Related Grants:
Panel History:
Panel DatePanel NameOutcome
09 Sep 2015 EPSRC ICT Fellowships Interview Panel - Sept 2015 Announced
15 Jul 2015 EPSRC ICT Prioritisation Panel - Jul 2015 Announced
Summary on Grant Application Form
Appearance modeling has a rich history in the fields of optics, computer graphics and vision. The emergent cross-disciplinary area of computational photography has led to recent advances in measurement based appearance modeling. This fellowship project aims to further extend the boundaries of appearance modeling by investigating novel techniques in computational imaging for measurement of scene appearance and its analysis for novel graphics, vision and imaging applications.

The goal is to advance the state of the art in appearance measurements in controlled conditions as well as detailed appearance modeling in uncontrolled environments. While traditional reflectometry techniques have mostly accounted for geometric optics, this project proposes novel imaging techniques that extensively consider wave properties of polarization and spectra of incident and reflected light. The project targets novel applications of such imaging in estimation of surface reflectance of complex materials, photometric reconstruction of transparent objects, and measurement of layered scattering in translucent materials. Besides having significant applications in graphics and vision, the proposed approach has broader applications in applied optics and medical imaging.

The project proposes to further generalize such appearance measurements to uncontrolled outdoor settings in this ambitious endeavor. This will include measurement and modeling of sky polarization fields and spectral modeling of natural scene reflectance. Furthermore, the project proposes novel statistical analysis of such imagery including both spatial and angular domain appearance statistics for appearance estimation from sparse uncontrolled measurements. This has varied applications in acquisition and rendering of outdoor scenes for graphics and virtual reality applications, and in large scale scene recognition and analysis for vision, robotics and remote sensing applications.
Key Findings
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Organisation Website: http://www.imperial.ac.uk