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PhD Forum: Camera Pose Estimation Suitable for Smart Cameras

Abstract : Camera pose estimation across video sequences is an important issue under several computer vision applications. In previous work, the most popular approach consists on optimization techniques applied over 2D/3D point correspondences for two consecutive frames from a video sequence. Unfortunately, these optimization techniques are iterative and depend on nonlinear optimizations applied over some geometric constraint. For real-time embedded applications, another approach, more efficient in terms of computational size and cost, could be a linear or closed-form solution for the camera pose estimation problem. In this work, we introduce a new approach for camera pose estimation, this approach uses 2D visual features displacements as linear/dependent parameters for the camera pose estimation so, camera pose can be estimated without iterative behavior and without geometric constraints. As result, the proposed algorithm could be implemented inside a small FPGA device, suitable for smart cameras. Preliminary results are encourageous and show the viability of the proposed approach.
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https://hal.archives-ouvertes.fr/hal-01657273
Contributor : Abiel Aguilar-González <>
Submitted on : Wednesday, December 6, 2017 - 3:17:59 PM
Last modification on : Thursday, February 7, 2019 - 4:14:17 PM

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Abiel Aguilar-González, Miguel Arias-Estrada, François Berry. PhD Forum: Camera Pose Estimation Suitable for Smart Cameras. 11th International Conference on Distributed Smart Cameras, Sep 2017, Stanford, United States. ⟨10.1145/3131885.3131938⟩. ⟨hal-01657273⟩

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