Apparatus and method for estimating focal length of camera
    11.
    发明授权
    Apparatus and method for estimating focal length of camera 有权
    用于估计摄像机焦距的装置和方法

    公开(公告)号:US08238648B2

    公开(公告)日:2012-08-07

    申请号:US11945759

    申请日:2007-11-27

    IPC分类号: G06K9/00

    摘要: Provided is a camera self-calibration method that calculates a focal length of a fixed zoom lens camera from a correspondence point position between images. In the method, a cost function, which is a function of a focal length, is defined, and a focal length that minimizes the defined cost function is obtained to obtain a focal length that allows 3D recovery results of correspondence points calculated from all image pairs coincide with one another. Therefore, reliability of the calculated focal length can be easily verified, and the focal length of the camera can be stably calculated even when the position of input correspondence point is inaccurately given.

    摘要翻译: 提供了一种从图像之间的对应点位置计算固定变焦镜头相机的焦距的照相机自校准方法。 在该方法中,定义作为焦距的函数的成本函数,并且获得使定义的成本函数最小化的焦距,以获得允许从所有图像对计算的对应点的3D恢复结果的焦距 相互重合。 因此,即使在输入对应点的位置不准确的情况下,也可以容易地验证计算出的焦距的可靠性,并能够稳定地计算摄像机的焦距。

    Method for automatic rigging and shape surface transfer of 3D standard mesh model based on muscle and nurbs by using parametric control
    15.
    发明授权
    Method for automatic rigging and shape surface transfer of 3D standard mesh model based on muscle and nurbs by using parametric control 有权
    通过参数控制,基于肌肉和鼻梁的3D标准网格模型的自动索引和形状表面传递方法

    公开(公告)号:US08610710B2

    公开(公告)日:2013-12-17

    申请号:US12970008

    申请日:2010-12-16

    IPC分类号: G06T15/00

    CPC分类号: G06T13/40

    摘要: Provided is a method for automatic rigging and shape surface transfer of a 3-D standard mesh model based on muscles and Nurbs by using parametric control. In some embodiments, the method includes: extracting a joint-skeleton structure from scan data of dynamic objects having a skeleton structure, or input 3-D mesh models, generating a muscle and an appearance surface based on anatomy information, and generating a standard mesh model that approximates the appearance of the dynamic objects by using the joint-skeleton structure and the generated muscle and appearance surface; and performing the shape surface transfer of the standard mesh model by comparing multi-view image information of the dynamic objects with projection image information of the standard mesh model.

    摘要翻译: 提供了一种通过使用参数控制,基于肌肉和Nurbs的3-D标准网格模型的自动索具和形状表面传递的方法。 在一些实施例中,该方法包括:从具有骨架结构的动态对象的扫描数据或基于解剖信息生成肌肉和外观表面的输入3-D网格模型提取关节骨架结构,以及生成标准网格 通过使用关节骨架结构和产生的肌肉和外观表面近似动态对象的外观的模型; 并通过将动态对象的多视点图像信息与标准网格模型的投影图像信息进行比较来执行标准网格模型的形状表面传送。