Deviation Magnification: Revealing Departures from Ideal Geometries

    公开(公告)号:US20180032838A1

    公开(公告)日:2018-02-01

    申请号:US15223438

    申请日:2016-07-29

    CPC classification number: G06T3/0093 G06T11/00 G06T11/001

    Abstract: Geometries of the structures and objects deviate from their idealized models, while not always visible to the naked eye. Embodiments of the present invention reveal and visualize such subtle geometric deviations, which can contain useful, surprising information. In an embodiment of the present invention, a method can include fitting a model of a geometry to an input image, matting a region of the input image according to the model based on a sampling function, generating a deviation function based on the matted region, extrapolating the deviation function to an image wide warping field, and generating an output image by warping the input image according to the warping. In an embodiment of the present invention, Deviation Magnification inputs takes a still image or frame, fits parametric models to objects of interest, and generates an output image exaggerating departures from ideal geometries.

    Riesz pyramids for fast phase-based video magnification
    2.
    发明授权
    Riesz pyramids for fast phase-based video magnification 有权
    雷斯金字塔用于快速相位视频放大

    公开(公告)号:US09338331B2

    公开(公告)日:2016-05-10

    申请号:US14592211

    申请日:2015-01-08

    CPC classification number: H04N5/144 G06T3/40 G09G2340/045 H04N5/20 H04N5/213

    Abstract: Some embodiments are directed to a method, corresponding system, and corresponding apparatus for rendering a video and/or image display to amplify small motions through video magnification. Some embodiments include a new compact image pyramid representation, the Riesz pyramid, that may be used for real-time, high-quality phase-based video magnification. Some embodiments are less overcomplete than even the smallest two orientation, octave-bandwidth complex steerable pyramid. Some embodiments are implemented using compact, efficient linear filters in the spatial domain. Some embodiments produce motion magnified videos that are of comparable quality to those using the complex steerable pyramid. In some embodiments, the Riesz pyramid is used with phase-based video magnification. The Riesz pyramid may phase-shift image features along their dominant orientation, rather than along every orientation like the complex steerable pyramid.

    Abstract translation: 一些实施例涉及用于渲染视频和/或图像显示以通过视频放大放大小运动的方法,对应系统和相应装置。 一些实施例包括可用于实时,高质量的基于相位的视频放大的新的紧凑型图像金字塔表示(Riesz金字塔)。 一些实施例比甚至最小的两个取向,八度带宽复杂的可操纵金字塔更不完全。 使用空间域中的紧凑,有效的线性滤波器来实现一些实施例。 一些实施例产生与使用复杂的可控金字塔的那些具有可比质量的运动放大视频。 在一些实施例中,雷斯金字塔用于基于相位的视频放大。 雷斯金字塔可以沿其主导方向相移图像特征,而不是像复杂的可控金字塔一样沿着每个方向。

    Joint View Expansion And Filtering For Automultiscopic 3D Displays
    3.
    发明申请
    Joint View Expansion And Filtering For Automultiscopic 3D Displays 有权
    用于自动三维显示的联合视图扩展和过滤

    公开(公告)号:US20150124062A1

    公开(公告)日:2015-05-07

    申请号:US14531548

    申请日:2014-11-03

    Abstract: Multi-view autostereoscopic displays provide an immersive, glasses-free 3D viewing experience, but they preferably use correctly filtered content from multiple viewpoints. The filtered content, however, may not be easily obtained with current stereoscopic production pipelines. The proposed method and system takes a stereoscopic video as an input and converts it to multi-view and filtered video streams that may be used to drive multi-view autostereoscopic displays. The method combines a phase-based video magnification and an interperspective antialiasing into a single filtering process. The whole algorithm is simple and may be efficiently implemented on current GPUs to yield real-time performance. Furthermore, the ability to retarget disparity is naturally supported. The method is robust and works transparent materials, and specularities. The method provides superior results when compared to the state-of-the-art depth-based rendering methods. The method is showcased in the context of a real-time 3D videoconferencing system.

    Abstract translation: 多视图自动立体显示器提供了沉浸式,无眼镜的3D观看体验,但是它们优选地从多个视点正确滤波内容。 然而,当前立体生产管道可能不容易获得过滤的内容。 所提出的方法和系统采用立体视频作为输入,并将其转换为可用于驱动多视点自动立体显示器的多视图和滤波视频流。 该方法将基于相位的视频放大和间隔抗锯齿组合到单个滤波过程中。 整个算法很简单,可以在当前的GPU上有效地实现,以实现实时性能。 此外,自然地支持重新定位差异的能力。 该方法是坚固的,透明的材料和镜面反射。 与最先进的基于深度的渲染方法相比,该方法提供了优异的结果。 该方法在实时3D视频会议系统的上下文中展示。

    3DTV at home: Eulerian-Lagrangian stereo-to-multi-view conversion

    公开(公告)号:US10834372B2

    公开(公告)日:2020-11-10

    申请号:US16000662

    申请日:2018-06-05

    Abstract: A method and system of converting stereo video content to multi-view video content combines an Eulerian approach with a Lagrangian approach. The method comprises generating a disparity map for each of the left and right views of a received stereoscopic frame. For each corresponding pair of left and right scanlines of the received stereoscopic frame, the method further comprises decomposing the left and right scanlines into a left sum of wavelets or other basis functions, and a right sum wavelets or other basis functions. The method further comprises establishing an initial disparity correspondence between left wavelets and right wavelets based on the generated disparity maps, and refining the initial disparity between the left wavelet and the right wavelet using a phase difference between the corresponding wavelets. The method further comprises reconstructing at least one novel view based on the left and right wavelets.

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