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公开(公告)号：US20150348265A1
公开(公告)日：2015-12-03
申请号：US14821441
申请日：2015-08-07
Applicant: Adobe Systems Incorporated
Inventor： Hailin Jin , Zihan Zhou
CPC classification number: G06T7/80 , G06T7/174 , G06T7/20 , G06T2207/10016 , G06T2207/30241 , H04N13/20
Abstract: Plane detection and tracking algorithms are described that may take point trajectories as input and provide as output a set of inter-image homographies. The inter-image homographies may, for example, be used to generate estimates for 3D camera motion, camera intrinsic parameters, and plane normals using a plane-based self-calibration algorithm. A plane detection and tracking algorithm may obtain a set of point trajectories for a set of images (e.g., a video sequence, or a set of still photographs). A 2D plane may be detected from the trajectories, and trajectories that follow the 2D plane through the images may be identified. The identified trajectories may be used to compute a set of inter-image homographies for the images as output.
Abstract translation: 描述了平面检测和跟踪算法，其可以将点轨迹作为输入，并且作为输出提供一组图像间同画。 例如，可以使用图像间同画来使用基于平面的自校准算法来生成用于3D相机运动，相机内在参数和平面法线的估计。 平面检测和跟踪算法可以获得一组图像（例如，视频序列或一组静态照片）的一组点轨迹。 可以从轨迹检测2D平面，并且可以识别通过图像在2D平面之后的轨迹。 所识别的轨迹可以用于计算图像的图像间同画作为输出。
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公开(公告)号：US09552639B2
公开(公告)日：2017-01-24
申请号：US14884338
申请日：2015-10-15
Applicant: Adobe Systems Incorporated
Inventor： Hailin Jin , Zihan Zhou
CPC classification number: G06T7/80 , G06T7/174 , G06T7/20 , G06T2207/10016 , G06T2207/30241 , H04N13/20
Abstract: Robust techniques for self-calibration of a moving camera observing a planar scene. Plane-based self-calibration techniques may take as input the homographies between images estimated from point correspondences and provide an estimate of the focal lengths of all the cameras. A plane-based self-calibration technique may be based on the enumeration of the inherently bounded space of the focal lengths. Each sample of the search space defines a plane in the 3D space and in turn produces a tentative Euclidean reconstruction of all the cameras that is then scored. The sample with the best score is chosen and the final focal lengths and camera motions are computed. Variations on this technique handle both constant focal length cases and varying focal length cases.
Abstract translation: 用于自动校准移动摄像机观察平面场景的强大技术。 基于平面的自校准技术可以将从点对应估计的图像之间的同形作为输入，并提供所有相机的焦距的估计。 基于平面的自校准技术可以基于焦距的固有界限空间的计数。 搜索空间的每个样本在3D空间中定义一个平面，并且反过来产生所有相机的临时欧几里德重建，然后对其进行评分。 选择具有最佳分数的样本，并计算最终焦距和相机运动。 该技术的变化处理恒定焦距情况和不同焦距情况。
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公开(公告)号：US20160104286A1
公开(公告)日：2016-04-14
申请号：US14884338
申请日：2015-10-15
Applicant: Adobe Systems Incorporated
Inventor： Hailin Jin , Zihan Zhou
CPC classification number: G06T7/80 , G06T7/174 , G06T7/20 , G06T2207/10016 , G06T2207/30241 , H04N13/20
Abstract: Robust techniques for self-calibration of a moving camera observing a planar scene. Plane-based self-calibration techniques may take as input the homographies between images estimated from point correspondences and provide an estimate of the focal lengths of all the cameras. A plane-based self-calibration technique may be based on the enumeration of the inherently bounded space of the focal lengths. Each sample of the search space defines a plane in the 3D space and in turn produces a tentative Euclidean reconstruction of all the cameras that is then scored. The sample with the best score is chosen and the final focal lengths and camera motions are computed. Variations on this technique handle both constant focal length cases and varying focal length cases.
Abstract translation: 用于自动校准移动摄像机观察平面场景的强大技术。 基于平面的自校准技术可以将从点对应估计的图像之间的同形作为输入，并提供所有相机的焦距的估计。 基于平面的自校准技术可以基于焦距的固有界限空间的计数。 搜索空间的每个样本在3D空间中定义一个平面，并且反过来产生所有相机的临时欧几里德重建，然后对其进行评分。 选择具有最佳分数的样本，并计算最终焦距和相机运动。 该技术的变化处理恒定焦距情况和不同焦距情况。
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公开(公告)号：US09747699B2
公开(公告)日：2017-08-29
申请号：US14821441
申请日：2015-08-07
Applicant: Adobe Systems Incorporated
Inventor： Hailin Jin , Zihan Zhou
CPC classification number: G06T7/80 , G06T7/174 , G06T7/20 , G06T2207/10016 , G06T2207/30241 , H04N13/20
Abstract: Plane detection and tracking algorithms are described that may take point trajectories as input and provide as output a set of inter-image homographies. The inter-image homographies may, for example, be used to generate estimates for 3D camera motion, camera intrinsic parameters, and plane normals using a plane-based self-calibration algorithm. A plane detection and tracking algorithm may obtain a set of point trajectories for a set of images (e.g., a video sequence, or a set of still photographs). A 2D plane may be detected from the trajectories, and trajectories that follow the 2D plane through the images may be identified. The identified trajectories may be used to compute a set of inter-image homographies for the images as output.
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