Skin and bones: multi-layer, locally affine, optical flow and regularization with transparency
Skin and bones: multi-layer, locally affine, optical flow and regularization with transparency
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DOI：
10.1109/cvpr.1996.517090
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发表时间：
1996-06
期刊：
影响因子：
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通讯作者：
Shanon X. Ju;Michael J. Black;A. Jepson
中科院分区：
文献类型：
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作者：
Shanon X. Ju;Michael J. Black;A. Jepson
本文描述了一种估计光流的新方法，该方法在局部密集计算的灵活性和全局参数化光流模型的鲁棒性和准确性之间取得了平衡。在局部图像块内使用图像运动的仿射模型，而对相邻块的仿射流参数的空间平滑度约束则强制运动的连续性。我们将此称为“皮肤和骨骼”模型，其中仿射补丁可以被视为由柔性“皮肤”连接的刚性“骨骼”。由于局部图像块可能包含多个运动，我们对仿射骨骼使用分层表示。为了规范这种分层运动表示，我们开发了一个新的透明正则化框架。
This paper describes a new method for estimating optical flow that strikes a balance between the flexibility of local dense computations and the robustness and accuracy of global parameterized flow models. An affine model of image motion is used within local image patches while a spatial smoothness constraint on the affine flow parameters of neighboring patches enforces continuity of the motion. We refer to this as a "Skin and Bones" model in which the affine patches can be thought of as rigid "bones" connected by a flexible "skin". Since local image patches may contain multiple motions we use a layered representation for the affine bones. To regularize this layered motion representation we develop a new framework for regularization with transparency.