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    • 2. 发明申请
    • EDGE BASED TEMPLATE MATCHING
    • 基于边缘模式匹配
    • US20130058582A1
    • 2013-03-07
    • US13225271
    • 2011-09-02
    • Petrus J.L. Van BeekChang YuanXinyu XuXiaofan FengXiaofeng Fan
    • Petrus J.L. Van BeekChang YuanXinyu XuXiaofan FengXiaofeng Fan
    • G06K9/68
    • G06K9/6204G06K9/6857
    • A system for image processing includes determining edge pixels of a model image using an edge based technique, and an angular orientation for each of the edge pixels of the model image. The system determines a lower spatial resolution model image based upon the model image and determining respective angular orientations for the lower spatial resolution model image, and determines edge pixels of an input image using an edge based technique, and an angular orientation for each of the edge pixels of the input image. The system determines a lower spatial resolution input image based upon the input image and determining respective angular orientations for the lower spatial resolution input image, and matches the lower spatial resolution model image with the lower spatial resolution input image to determine candidate locations of an object within the image and based upon the candidate locations matching the input image with the model image.
    • 用于图像处理的系统包括使用基于边缘的技术来确定模型图像的边缘像素,以及模型图像的每个边缘像素的角度定向。 该系统基于模型图像确定较低的空间分辨率模型图像,并且确定用于较低空间分辨率模型图像的各个角度取向,并且使用基于边缘的技术来确定输入图像的边缘像素,并且针对每个边缘 输入图像的像素。 该系统基于输入图像确定较低的空间分辨率输入图像,并且确定下部空间分辨率输入图像的相应角度取向,并且将下部空间分辨率模型图像与较低空间分辨率输入图像相匹配,以确定对象的候选位置 并且基于与输入图像匹配的候选位置与模型图像。
    • 6. 发明申请
    • SYSTEMS AND METHODS FOR INCREASING THE TEMPORAL RESOLUTION OF VIDEO DATA
    • 增加视频数据的时间分辨率的系统和方法
    • US20090244365A1
    • 2009-10-01
    • US12060061
    • 2008-03-31
    • Hiroyuki TakedaPetrus J.L. Van Beek
    • Hiroyuki TakedaPetrus J.L. Van Beek
    • H04N7/01
    • G06K9/6247G06T3/403
    • A method for multi-scale spatio-temporal steering kernel regression may include repeatedly spatially downsampling input video data, thereby obtaining spatially downsampled video data at a coarsest spatial resolution scale. The spatially downsampled video data at the coarsest spatial resolution scale may be temporally upscaled to generate an estimate of temporally upscaled video data at the coarsest spatial resolution scale. The temporal upscaling may be achieved using spatio-temporal steering kernel regression. Estimates of the temporally upscaled video data may be repeatedly spatially upscaled to generate an estimate of the temporally upscaled video data at the original spatial resolution. The spatial upscaling may be achieved using spatio-temporal steering kernel regression.
    • 用于多尺度时空转向核回归的方法可以包括重复空间上对采样输入视频数据进行空间采样,从而以最粗糙的空间分辨率刻度获得空间下采样的视频数据。 在最粗糙的空间分辨率刻度上的空间下采样的视频数据可以被时间放大以在最粗的空间分辨率刻度上产生时间放大的视频数据的估计。 可以使用时空导向核回归来实现时间升高。 时间放大的视频数据的估计可以被重复空间放大以产生原始空间分辨率下的时间放大的视频数据的估计。 可以使用时空导向核回归来实现空间升高。