Real-Time Seamless Single Shot 6D Object Pose Prediction这篇文章提出了一种使用一张2D图片来预测物体6D姿态的方法。但是,并不是直接预测这个6D姿态,而是通过先预测3D bounding box在2D图像上的投影的1个中心点和8个角点,然后再由这9个点通过PNP算法计算得到6D姿态。我们这里不管怎么由PNP算法得到物体的6D姿态,而...
基于YOLO的3D目标检测:YOLO-6D This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/
首先采用低门限恒虚警率(CFAR)检测器将雷达距离-多普勒维和距离-方位维的检测结果匹配，得 到相应掩码图，筛选出潜在的运动目标；然后提出一种融合多维特征信息的双主干YOLO(DB- YOLO)，该网络采用双主干结构，同时提取动目标掩码图和其映射下相同尺度P显图的特征，并 采用深度可分离卷积模块降低网络的模型参数。将该...
基于YOLO的3D目标检测:YOLO-6D This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848). zhuanlan.zhihu.com/p/41...