High-speed transition patterns for video projection, 3D reconstruction, and copyright protection

Boisvert, Jonathan; Drouin, Marc-Antoine; Jodoin, Pierre-Marc

doi:10.1016/j.patcog.2014.06.001

Cited by 8 publications

(2 citation statements)

References 22 publications

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“…3D reconstruction technology is still one of the hottest issues in the rapid development of artificial intelligence and computer vision [1][2][3][4][5][6][7][8][9]. With the continuous expansion of computer vision applications, simultaneous localization and mapping (SLAM) technology is used to solve the problem of robot positioning and building maps in an unknown environment [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…With the continuous expansion of computer vision applications, simultaneous localization and mapping (SLAM) technology is used to solve the problem of robot positioning and building maps in an unknown environment [19][20][21]. The current 3D reconstruction technology is mainly divided into camera modeling based on laser radar equipment and machine vision [7,[22][23][24]. Lidar equipment has the advantages of high precision and high real-time performance, but it has the disadvantages of high cost and a limited application environment.…”

Section: Introductionmentioning

confidence: 99%

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Handheld 3D reconstruction based on closed-loop detection and nonlinear optimization

Hou

et al. 2019

Meas. Sci. Technol.

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Aiming at its shortcomings of being difficult-to-move, low-efficiency modeling and high cost, this paper proposes a handheld 3D reconstruction system based on closed-loop detection and nonlinear optimization. The proposed system adds closed-loop detection with the bag of words model, reducing the drift and misalignment of the 3D reconstruction model caused by cumulative errors. Meanwhile, the g2o framework is employed to optimize the graph to solve the pose state estimation problem of the nonlinear system, which greatly enhances the robustness and accuracy of the system. The experimental platform for the experiment and analysis of the 3D reconstruction system uses a non-invasive 3D detection Tango mobile phone. Experimental results show that the indoor high-precision 3D reconstruction system based on the handheld device (Project Tango) has good accuracy and robustness, and the error range is about 1%. Therefore, the system proposed in this paper has a good application value.

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