Full BRDF Reconstruction Using CNNs from Partial Photometric Stereo-Light Field Data

Computational Photography : High Dynamic Rangeand Light Fields

“…Capturing high resolution light field and light field videos requires an excessively large amount of bandwidth, which has been the main barrier for light field imaging. Light fields and light field videos have varieties of applications such as refocusing [21], interactive 3D video [223], free-viewpoint television (FTV) [224], light field display [225], auto-stereoscopic 3D display [226], depth estimation and occlusion modeling [227,228,229], scene flow estimation [230], light field segmentation [231], stitching [232], material recognition [233], compositing light field video [217], and photo-real digital actors [234].…”

Towards Reflectometry from Interreflections

“…Bidirectional reflectance distribution functions (BRDF) [1] have served as one of the main ways for describing the reflectance properties of (opaque) materials in computer vision, computer graphics, and computational imaging. They have found use in applications ranging from physically accurate rendering, to simultaneous shape and material acquisitions, and from virtual and augmented reality, to semantic scene parsing [2], [3], [4], [5], [6], [7].…”

Sparse representation of visual data for compression and compressed sensing

“…For instance, light fields have been widely used for designing glasses-free 3D displays [27,28,29] and photo-realistic real time rendering, see Paper A and [30,31]. BTFs have been used in a wide range of applications such as estimating BRDFs [32], theoretical analysis of cast shadows [33], real-time rendering [34,35], and geometry estimation [36]. Moreover, measured BRDF datasets such as [37] have enabled more than a decade of research in deriving new analytical models [38,39,40] and evaluating existing ones [41], as well as efficient photo-realistic rendering.…”