PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization 2015論文筆記
劍橋大學 ，單目圖像，RGB，室內室外，相機重定位 PoseNet是使用神經網絡做相機定位的開山之作，之後的PoseNet2對其損失函數做了一些修改和提升。 看完PoseNet和PoseNet2，感覺這個團隊寫論文的風格都特別務實麼得空話，全部是實驗、數字、說明以及一些訓練的tricks。 摘要 2015年的文章，對比的baseline是基於手工特徵的方法，相比之下更爲魯棒。輸入爲單張ＲＧＢ圖像，
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相關文章
- 1. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization論文閱讀
- 2. Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network，2017論文
- 3. Relative Geometry-Aware Siamese Neural Networkfor 6DOF Camera Relocalization 2019 論文筆記
- 4. 【論文筆記】PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
- 5. 論文筆記：Convolutional Neural Network for Sentence Classification
- 6. Camera Relocalization by Exploiting Multi-View Constraints for Scene Coordinates Regression 2019論文筆記
- 7. Backtracking Regression Forests for Accurate Camera Relocalization
- 8. Learning a Single Convolutional Super-Resolution Network for Multiple Degradations 論文筆記
- 9. Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation
- 10. 【論文筆記】PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation