Modified Parallel Tracking And Mapping For Augmented Reality As An Alcohol Deterrent

PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PREMI 2019, PT I(2019)

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摘要
Drug addiction among the population is a major social menace. This paper proposes an innovative method to offer a promising deterrent against alcohol abuse using Augmented Reality (AR) as a tool. The proposed method aims at traumatizing an alcoholic person by augmenting multiple multimedia objects in the vicinity of a person. A modified Parallel Tracking and Mapping (PTAM) technique has been proposed to create an AR workspace. For this, we have proposed an improvement in the Bundle Adjustment. A novel concept of map independence is incorporated in the PTAM, providing freedom of augmenting multimedia in the desired position. The major contribution of this paper is that a versatile AR platform is developed for a monocular camera-based system for educating alcoholic persons for overcoming alcohol addiction.
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关键词
Alcohol deterrent, Graph SLAM, PTAM, Levenberg-Marquardt algorithm, Bundle adjustment
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