TY - GEN
T1 - Deep Matting for AR Based Interior Design
AU - Sultana, Maryam
AU - Kim, In Su
AU - Jung, Soon Ki
N1 - Publisher Copyright:
© 2020, Springer Nature Singapore Pte Ltd.
PY - 2020
Y1 - 2020
N2 - In the applications of interior and architectural design, there are various tasks range from ensuring desired floor colors/textures plans, to deciding furnishing arrangement styles: all depending upon the choices of designers themselves. Thus in this modern era of artificial intelligence, computer vision based applications are very popular. Many research studies have been conducted to address different interior design applications using virtual reality technology. However, VR based applications do not provide a realistic experience to the user for interior design. Therefore in this study, we present an Augmented Reality (AR) based end-to-end systematic approach for interior design initialized by deep matting of an indoor scene. In our proposed application, the user has the authority to choose various colors/textures to change the interior of the region of interest in an indoor environment. Our proposed application has different modules working jointly for efficient interactive interior design. It allows the user to select its region of interest (wall or floor) and then give options to choose a color/texture to map on ROI for interior design experience. The final results of our proposed approach give realistic experience to the users as we estimate the global illumination changes on the ROI in our joint modules. Hence in this way, our presented interactive interior design application is user-friendly and works efficiently with realistic looking outputs.
AB - In the applications of interior and architectural design, there are various tasks range from ensuring desired floor colors/textures plans, to deciding furnishing arrangement styles: all depending upon the choices of designers themselves. Thus in this modern era of artificial intelligence, computer vision based applications are very popular. Many research studies have been conducted to address different interior design applications using virtual reality technology. However, VR based applications do not provide a realistic experience to the user for interior design. Therefore in this study, we present an Augmented Reality (AR) based end-to-end systematic approach for interior design initialized by deep matting of an indoor scene. In our proposed application, the user has the authority to choose various colors/textures to change the interior of the region of interest in an indoor environment. Our proposed application has different modules working jointly for efficient interactive interior design. It allows the user to select its region of interest (wall or floor) and then give options to choose a color/texture to map on ROI for interior design experience. The final results of our proposed approach give realistic experience to the users as we estimate the global illumination changes on the ROI in our joint modules. Hence in this way, our presented interactive interior design application is user-friendly and works efficiently with realistic looking outputs.
KW - Deep Alpha-Matting
KW - Deep object segmentation
KW - Illumination estimation
KW - Interior design
UR - http://www.scopus.com/inward/record.url?scp=85090035513&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-4818-5_3
DO - 10.1007/978-981-15-4818-5_3
M3 - Conference contribution
AN - SCOPUS:85090035513
SN - 9789811548178
T3 - Communications in Computer and Information Science
SP - 31
EP - 42
BT - Frontiers of Computer Vision - 26th International Workshop, IW-FCV 2020, Revised Selected Papers
A2 - Ohyama, Wataru
A2 - Jung, Soon Ki
PB - Springer
T2 - International Workshop on Frontiers of Computer Vision, IW-FCV 2020
Y2 - 20 February 2020 through 22 February 2020
ER -