DocumentCode
3562871
Title
Enabling 3D online shopping with affordable depth scanned models
Author
Poon, Geoffery ; Yu-Yin Yeung ; Wai-Man Pang
Author_Institution
Dept. of Comput. Sci., Caritas Inst. of Higher Educ., Hong Kong, China
fYear
2014
Firstpage
150
Lastpage
155
Abstract
Online shopping systems nowadays are constructed with the capability of displaying text and 2D images to the customers. Although it is enough for the purpose of exchanging product information between sellers and buyers, the plain and dull shopping experience is not really appreciated. With the recent advancement of 3D technologies in the web environment, we can enhance such an experience with 3D visualized products. However, the creation of 3D content is a major challenge in realizing a 3D enabled shopping system. The high cost of 3D scanning devices inhibits the popularity of scanned 3D objects on the web and related applications. Therefore, one major targets of our system is to provide a low cost 3D scanning solution suitable for naïve web users. We exploit the Kinect device, which is a low-cost and fast depth sensor with color, in the development of a 3D scanning system. With an integration of a marker-based tracking system to estimate the current view angle of Kinect sensor during depth acquisition, the obtained depth data can reconstruct the 3D model by a preliminary coordinate frame alignment and a registration of all point clouds. The whole process of capturing, storing, uploading, compressing and displaying 3D models of products on web application is done with minimal user involvements. The introduction of attractive and fashionable 3D product on the web will gain significant attention from customers and evolve habits and traditions in e-commerce, especially for C2C business, in which sellers can promote their goods for sale with scanned 3D models.
Keywords
Internet; data compression; data visualisation; image colour analysis; image reconstruction; image registration; image sensors; retail data processing; 3D content; 3D enabled shopping system; 3D model capturing; 3D model compression; 3D model displaying; 3D model reconstruction; 3D model storage; 3D model uploading; 3D online shopping; 3D scanning devices; 3D scanning system; 3D visualized products; Kinect sensor; Web environment; affordable depth scanned model; current view angle estimation; depth acquisition; low-cost fast depth sensor; marker-based tracking system; point cloud registration; Cameras; Image reconstruction; Iterative closest point algorithm; Real-time systems; Software; Solid modeling; Three-dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Smart Computing (SMARTCOMP), 2014 International Conference on
Print_ISBN
978-1-4799-5710-1
Type
conf
DOI
10.1109/SMARTCOMP.2014.7043853
Filename
7043853
Link To Document