3D Reconstruction Using Structure from Motion with OpenGL Visualization
Last year at CVPR 2018, I became interested in the Apolloscape dataset and the localization task challenge that was announced for ECCV 2018. I dived into the...
3D Reconstruction Using Structure from Motion with OpenGL Visualization launched on April 5, 2019 with 7 votes, #1,085 of 3,128 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 7 years on.
What it does
Last year at CVPR 2018, I became interested in the Apolloscape dataset and the localization task challenge that was announced for ECCV 2018. I dived into the problem: exploring the Apolloscape dataset and using PoseNet with geometric loss functions [1,2] for direct pose prediction from monocular images. As a result, I got more interested in geometric approaches and multi-view geometry for computer vision tasks. While direct deep-learning methods somewhat works for 6DOF pose regression, they are not yet precise, and research papers increasingly use a combination of the following methods: Structure from Motion (SfM) techniques, geometric-based constraints, pose graph optimizations [15] and 3D…from capsulesbot.com
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