Photometric stereo - Open Access .click

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
While conventional calibrated photometric stereo methods assume that light intensities and sensor exposures are known or unknown but identical across observed images, this assumption easily breaks down in practical settings due to individual light bulb's characteristics and limited control over sensors.
In So Kweon, Yasuyui Matsushita, Donghyeon Cho +2 more
exaly +4 more sources

Resolution-Enhanced Photometric Stereo

, 2006
Conventional photometric stereo has a fundamental limitation that the scale of recovered geometry is limited to the resolution of the input images. However, surfaces that contain sub-pixel geometric structures are not well modelled by a single normal direction per pixel.
Ping Tan 0002, Stephen Lin 0001, Long Quan +2 more
openaire +2 more sources

A new approach to photometric stereo

Pattern Recognition Letters, 1999
Abstract We introduce a new approach to shape estimation from photometric stereo images. The input images are matched through an optical flow algorithm, with the matching direction iteratively refined. The resulting disparity field is then used in a structure-from-motion reconstruction which does not require reflectance map information.
José R A Torreão
exaly +3 more sources

technology
computer vision
3d reconstruction

photometry
convolutional neural network
uncalibrated photometric stereo

photogrammetry
shape from shading
deep neural networks