【論文詳解】In Defense of Classical Image Processing: Fast Depth Completion on the CPU
論文《In Defense of Classical Image Processing: Fast Depth Completion on the CPU》提出了一種用經典的圖像處理算法進行深度補全的算法，不依賴於任何訓練數據，沒有使用深度學習模型。 主要貢獻： 1.提出了一種快速的深度補全的算法，能從稀疏的深度圖中恢復完整的深度圖，並且在CPU上可達到90Hz的頻率。該算法的效果
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相關文章
- 1. 論文筆記_Single-Image Depth Perception in the Wild
- 2. 論文筆記Globally and Locally Consistent Image Completion
- 3. 論文筆記_S2D.42_2018-CRV_爲經典圖像處理辯護:在CPU上的快速深度補全
- 4. Single-Image Depth Perception in the Wild 論文筆記
- 5. In Defense of the Triplet Loss for Person Re-Identification
- 6. LIDAR and Monocular Camera Fusion: On-road Depth Completion for Autonomous Driving 論文筆記
- 7. Basic knowledge of digital image processing
- 8. Image Processing in OpenCV——Geometric Transformations of Images
- 9. [論文解讀]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- 10. Fast Image Processing with Fully-Convolutional Networks