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3D image reconstruction from 2D image processing in android app

we propose a complete on-device 3D reconstruction pipeline for mobile monocular hand-held devices, which generates dense 3D models with absolute scale on-site while simultaneously supplying the user with real-time interactive feedback. The method fills a gap in current cloud-based mobile reconstruction services as it ensures at capture time that the acquired image set fulfills desired quality and completeness criteria. In contrast to existing systems, the developed framework offers multiple innovative solutions. In particular, we investigate the usability of the available on-device inertial sensors to make the tracking and mapping process more resilient to rapid motions and to estimate the metric scale of the captured scene. Moreover, we propose an efficient and accurate scheme for dense stereo matching which allows to reduce the processing time to interactive speed. We demonstrate the performance of the reconstruction pipeline on multiple challenging indoor and outdoor scenes of different size and depth variability.

Habilidades: Android, Matlab and Mathematica

Ver mais: models 2d, method models, android sensors, 3d systems, models services, image services, 2d models, time tracking app, accurate solutions, variability, reconstruction, mapping 3d, image android app, hand held, stereo matching, android indoor, android estimate, android app scheme, estimate scale, matlab stereo matching, app scale, stereo matching matlab, android reconstruction, mobile mapping, image processing android app

Acerca do Empregador:
( 0 comentários ) noida, India

ID do Projeto: #6834949

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ominfowave

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mobilestar126

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somu101

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