【论文详解】In Defense of Classical Image Processing: Fast Depth Completion on the CPU
论文《In Defense of Classical Image Processing: Fast Depth Completion on the CPU》提出了一种用经典的图像处理算法进行深度补全的算法，不依赖于任何训练数据，没有使用深度学习模型。 主要贡献： 1.提出了一种快速的深度补全的算法，能从稀疏的深度图中恢复完整的深度图，并且在CPU上可达到90Hz的频率。该算法的效果
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相关文章
- 1. 论文笔记_Single-Image Depth Perception in the Wild
- 2. 论文笔记Globally and Locally Consistent Image Completion
- 3. 论文笔记_S2D.42_2018-CRV_为经典图像处理辩护:在CPU上的快速深度补全
- 4. Single-Image Depth Perception in the Wild 论文笔记
- 5. In Defense of the Triplet Loss for Person Re-Identification
- 6. LIDAR and Monocular Camera Fusion: On-road Depth Completion for Autonomous Driving 论文笔记
- 7. Basic knowledge of digital image processing
- 8. Image Processing in OpenCV——Geometric Transformations of Images
- 9. [论文解读]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- 10. Fast Image Processing with Fully-Convolutional Networks