Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/99405
Title: Resolving occlusion in image sequence made easy
Authors: Ong, K.C.
Teh, H.C. 
Tan, T.S. 
Keywords: Augmented reality
Occlusion
Segmentation
Structure-from-motion
Issue Date: 1998
Source: Ong, K.C.,Teh, H.C.,Tan, T.S. (1998). Resolving occlusion in image sequence made easy. Visual Computer 14 (4) : 153-165. ScholarBank@NUS Repository.
Abstract: While the task of seamlessly merging computer-generated 3D objects into an image sequence can be done manually, such effort often lacks consistency across the images. It is also time consuming and prone to error. This paper proposes a framework that solves the occlusion problem without assuming a priori computer models from the input scene. It includes a new algorithm to derive approximate 3D models about the real scene based on recovered geometry information and user-supplied segmentation results. The framework has been implemented, and it works for amateur home videos. The result is an easy-to-use system for applications like the visualization of new architectures in a real environment.
Source Title: Visual Computer
URI: http://scholarbank.nus.edu.sg/handle/10635/99405
ISSN: 01782789
Appears in Collections:Staff Publications

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