A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3-D Reconstructions
文章目錄 系統流程介紹 相機觀測 激光觀測 優化框架 感想 相機能獲得稠密的彩色像素而深度估計不夠精確，激光能獲得精確的深度但是值較爲稀疏，融合激光和相機是一種常見的思路。 目前主流的方法是將稀疏的激光測距融合到視覺中，然後對深度進行上採樣。但這種方法存在兩個問題： 相機和激光的外參標定誤差較大。 上採樣得到的深度由於光滑性假設，在一些區域不夠準備。 本文提出的方法，在概率模型框架下，優化外
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相關文章
- 1. 論文筆記_2010-BMVC-Joint optimization for object class segmentation and dense stereo reconstruction
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