DAVIS第七课：Feature Detection and Tracking with the Dynamic and Active-pixel Vision

时间 2021-01-12

标签事件相机DAVIS 繁體版

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第八课：Feature Detection and Tracking with the Dynamic and Active-pixel Vision 1.摘要因为标准的相机以一种连续的时间间隔采样场景，所以他们并不提供后续帧之间盲区时间。然而，对于大多数高速运动的机器人和视觉应用中，在盲区时间内提供一种高速率测量更新是至关重要的。 DAVIS联合了标准相机和异步事件传感器，能够解决上述难

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1. VINS（二）Feature Detection and Tracking
2. DAVIS第四课：基于DAVIS的特征点检测和追踪
3. 论文阅读：《POI: Multiple Object Tracking with High Performance Detection and Appearance Feature 》
4. Bridging the Gap Between Detection and Tracking: A Unified Approach
5. Dynamic Channel Pruning Feature Boosting and Suppression
6. Vision and Image Course Project
7. 论文笔记：Integrated Object Detection and Tracking with Tracklet-Conditioned Detection
8. Fun with dynamicobject dynamic and the settings table
9. 学习笔记：LAB Feature with Feature-centric Cascade for Fast and Accurate Face Detection
10. RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation

>>更多相关文章<<