• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Conference on Tools with Artificial Intelligence >How Does a Camera Look at One 3D CAD Object?
【24h】

How Does a Camera Look at One 3D CAD Object?

机译：相机如何看待一个3D CAD对象？

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Camera pose and the camera's rotation angles and translation vector (RT), are one-to-one relation with a 2D real image when the intrinsic parameter is fixed. In this paper, we propose a novel convolutional neural network (CNN) based framework to intelligently estimate the 6-DOF RTs from images taken on one 3D CAD object directly and indirectly, as well as visually verifying the correctness of the predicted RTs. Such a framework enables us to accurately interpret how a camera looks at the object. The direct way is simple and obtains lower average errors for the predicted RTs experimentally, while the indirect way utilizes the POSIT algorithm via landmarks and is able to avoid the non-Euclidean issue in rotation angles. To our best knowledge, we are the first one to estimate camera's RTs and effectively interprets how a camera looks at one 3D CAD object from the images taken on it. The experiments on four models quantitatively and qualitatively demonstrate the efficacy of our proposed approach.
机译：当固有参数固定时，摄像机的姿势以及摄像机的旋转角度和平移矢量（RT）与2D实像是一对一的关系。在本文中，我们提出了一种新颖的基于卷积神经网络（CNN）的框架，可以直接或间接地从在一个3D CAD对象上拍摄的图像智能地估计6自由度RTs，并在视觉上验证预测的RTs的正确性。这样的框架使我们能够准确地解释相机如何看待物体。直接方式很简单，并且通过实验获得了预测的RT的较低平均误差，而间接方式则通过地标利用POSIT算法，并且能够避免旋转角度上的非欧几里得问题。据我们所知，我们是第一个估计摄像机的RT并有效地解释摄像机如何从所拍摄图像中观察一个3D CAD对象的人。在四个模型上进行的实验定量和定性地证明了我们提出的方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号