基本信息:
- 专利标题: DRIFT CORRECTION FOR CAMERA TRACKING
- 专利标题(中):相机跟踪的修正校正
- 申请号:PCT/US2016/042450 申请日:2016-07-15
- 公开(公告)号:WO2017052722A1 公开(公告)日:2017-03-30
- 发明人: BARAKAT, Samer S. , BEN HIMANE, Mohamed Selim
- 申请人: INTEL CORPORATION
- 申请人地址: 2200 Mission College Boulevard Santa Clara, California 95054 US
- 专利权人: INTEL CORPORATION
- 当前专利权人: INTEL CORPORATION
- 当前专利权人地址: 2200 Mission College Boulevard Santa Clara, California 95054 US
- 代理机构: MALONEY, Neil F.
- 优先权: US14/863,614 20150924
- 主分类号: G06T5/00
- IPC分类号: G06T5/00
摘要:
Techniques are disclosed for drift correction for camera tracking. In some cases, the techniques include iterative optimization of the camera poses at selected keyframes captured along the camera trajectory to reduce pose errors. Such iterative optimization may include performing an alignment process using the point cloud of a given keyframe and a point cloud made from one or more overlapping keyframes, such as via an iterative closest point (ICP)-based expectation maximization. The keyframes may then be fused to reconstruct a more accurate model of the scene, discarding the existing model. The new model can then be used for tracking and meshing. In some instances, keyframes may be selected such that the overlap with other keyframes includes enough shape features to allow for alignment with the keyframe depth point cloud. In some cases, the techniques can be performed in a particular order giving precedence to keyframes having smaller pose errors.
摘要(中):
公开了用于相机跟踪的漂移校正的技术。 在某些情况下,这些技术包括在相机轨迹捕获的所选关键帧处相机姿态的迭代优化,以减少姿态误差。 这种迭代优化可以包括使用给定关键帧的点云和由一个或多个重叠关键帧(例如经由基于迭代最近点(ICP)的期望最大化)形成的点云来执行对准过程。 然后可以将关键帧融合以重建场景的更准确的模型,丢弃现有模型。 然后可以将新模型用于跟踪和网格划分。 在一些情况下,可以选择关键帧,使得与其他关键帧的重叠包括足够的形状特征以允许与关键帧深度点云对齐。 在一些情况下,可以以具有较小姿态误差的关键帧优先的特定顺序来执行这些技术。
IPC结构图谱:
G | 物理 |
--G06 | 计算;推算;计数 |
----G06T | 一般的图像数据处理或产生 |
------G06T5/00 | 图像的增强或复原,如从位像到位像地建立一个类似的图形 |