TY - GEN
T1 - Single image based illumination estimation for lighting virtual object in real scene
AU - Chen, Xiaowu
AU - Wang, Ke
AU - Jin, Xin
PY - 2011
Y1 - 2011
N2 - Rendering virtual objects into real scenes with real illumination can greatly increase the realism of virtual objects and the consistency between the virtual and the real. The main challenge lies in illumination estimation from a single image. This article proposes a novel method of single image based illumination estimation for lighting virtual object in real scene. Only a single image, without any knowledge of the 3D geometry or reflectance, is needed, which greatly increases the applicability of the method. We first estimate coarse scene geometry and intrinsic components including shading image and reflectance image. Then the sparse radiance map of the scene is inferred based on the scene geometry and intrinsic components. Finally, the virtual objects are illuminated by the estimated sparse radiance map. Some experimental results show that this method can convincingly light virtual objects into a single real image, without any pre-recorded 3D geometry and reflectance, illumination acquisition equipments or imaging information of the image.
AB - Rendering virtual objects into real scenes with real illumination can greatly increase the realism of virtual objects and the consistency between the virtual and the real. The main challenge lies in illumination estimation from a single image. This article proposes a novel method of single image based illumination estimation for lighting virtual object in real scene. Only a single image, without any knowledge of the 3D geometry or reflectance, is needed, which greatly increases the applicability of the method. We first estimate coarse scene geometry and intrinsic components including shading image and reflectance image. Then the sparse radiance map of the scene is inferred based on the scene geometry and intrinsic components. Finally, the virtual objects are illuminated by the estimated sparse radiance map. Some experimental results show that this method can convincingly light virtual objects into a single real image, without any pre-recorded 3D geometry and reflectance, illumination acquisition equipments or imaging information of the image.
KW - geometry estimation
KW - illumination estimation
KW - intrinsic image
KW - lighting virtual object
KW - sparse radiance map
UR - https://www.scopus.com/pages/publications/81255148068
U2 - 10.1109/CAD/Graphics.2011.19
DO - 10.1109/CAD/Graphics.2011.19
M3 - 会议稿件
AN - SCOPUS:81255148068
SN - 9780769544977
T3 - Proceedings - 12th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2011
SP - 450
EP - 455
BT - Proceedings - 12th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2011
T2 - 12th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2011
Y2 - 15 September 2011 through 17 September 2011
ER -