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Open AccessArticle

Using Human Objects for Illumination Estimation and Shadow Generation in Outdoor Environments

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Digital Imaging in Integrative Engineering, Chung-Ang University, Huksuk-Ro 84, Dongjak-Ku, Seoul 156-756, Korea
2
College of Software, Chung-Ang University, Huksuk-Ro 84, Dongjak-Ku, Seoul 156-756, Korea
*
Author to whom correspondence should be addressed.
Symmetry 2019, 11(10), 1266; https://doi.org/10.3390/sym11101266
Received: 1 September 2019 / Revised: 6 October 2019 / Accepted: 8 October 2019 / Published: 10 October 2019
In computer graphics and augmented reality applications, the illumination information in an outdoor environment enables us to generate a realistic shadow for a virtual object. This paper presents a method by which to estimate the illumination information using a human object in a scene. A Gaussian mixture model, in which the mixtures of Gaussian distributions are symmetrical, is employed to learn the background. The human object is then segmented from the input images and the disparity map obtained by a stereo camera. The ground plane in the scene, which is important for estimating the location of the human object on the ground, is then detected using the v-disparity map. The altitude and the azimuth value of the sun are computed from the geometric relationship of three scene elements: the ground, human object, and human-shadow region. The experimental results showed that the proposed method can estimate the sun information accurately and generate a shadow in the scene for a virtual object. View Full-Text
Keywords: augmented reality; outdoor environment; illumination estimation; shadow generation; stereo camera augmented reality; outdoor environment; illumination estimation; shadow generation; stereo camera
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Han, S.-J.; Shin, J.-S.; Kim, K.; Lee, S.-Y.; Hong, H. Using Human Objects for Illumination Estimation and Shadow Generation in Outdoor Environments. Symmetry 2019, 11, 1266.

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