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    • 14. 发明授权
    • Choosing video deinterlacing interpolant based on cost
    • 基于成本选择视频去隔行插值
    • US08274603B2
    • 2012-09-25
    • US12057372
    • 2008-03-28
    • Shengyang DaiSimon John BakerSing Bing Kang
    • Shengyang DaiSimon John BakerSing Bing Kang
    • H04N7/01H04N11/20
    • H04N7/0145H04N7/012
    • Deinterlacing of video involves converting interlaced video to progressive video by interpolating a missing pixel in the interlaced video from other pixels in the video. A plurality of interpolants are provided, each of which interpolates a pixel value from other pixels that are nearby in space and/or time. The data costs of using the various interpolants is calculated. A particular one of the interpolants is chosen based on the data costs associated with the various interpolants. The chosen interpolant is used to interpolate the value of the missing pixel. The interpolated pixel value may be refined based on exemplars. The exemplars may be taken from the video that is being deinterlaced.
    • 视频的去隔行扫描涉及通过从视频中的其他像素插入隔行视频中的丢失像素来将隔行扫描视频转换为逐行视频。 提供了多个内插器,每个插值器都在空间和/或时间附近的其他像素中插入像素值。 计算使用各种内插剂的数据成本。 基于与各种内插剂相关联的数据成本来选择特定的一个内插剂。 所选择的插值器用于内插缺失像素的值。 可以基于示例来改进内插像素值。 示例可以从正在被去隔行扫描的视频中取出。
    • 18. 发明授权
    • Self-calibration for a catadioptric camera
    • 反折射相机的自校准
    • US07548253B2
    • 2009-06-16
    • US11015828
    • 2004-12-15
    • Sing Bing Kang
    • Sing Bing Kang
    • H04N17/02
    • H04N5/2628G06T5/006G06T7/80
    • A method and a system for self-calibrating a wide field-of-view camera (such as a catadioptric camera) using a sequence of omni-directional images of a scene obtained from the camera. The present invention uses the consistency of pairwise features tracked across at least a portion of the image collection and uses these tracked features to determine unknown calibration parameters based on the characteristics of catadioptric imaging. More specifically, the self-calibration method of the present invention generates a sequence of omni-directional images representing a scene and tracks features across the image sequence. An objective function is defined in terms of the tracked features and an error metric (an image-based error metric in a preferred embodiment). The catadioptric imaging characteristics are defined by calibration parameters, and determination of optimal calibration parameters is accomplished by minimizing the objective function using an optimizing technique.
    • 一种用于使用从相机获得的场景的全方位图像序列来自动校准宽视野相机(例如反折射相机)的方法和系统。 本发明使用在图像集合的至少一部分上跟踪的成对特征的一致性,并且使用这些跟踪的特征来基于反射折射成像的特征来确定未知的校准参数。 更具体地,本发明的自校准方法生成表示场景的全方位图像序列,并且跨越图像序列跟踪特征。 根据跟踪特征和误差度量(优选实施例中的基于图像的误差度量)来定义目标函数。 反射折射成像特征由校准参数定义,并且通过使用优化技术来最小化目标函数来实现最佳校准参数的确定。
    • 19. 发明申请
    • CHROMATIC ABERRATION CORRECTION
    • 色度校正校正
    • US20080298678A1
    • 2008-12-04
    • US11755357
    • 2007-05-30
    • Sing Bing Kang
    • Sing Bing Kang
    • G06K9/00
    • H04N9/045G06T5/002G06T5/003G06T5/20G06T2207/10024H04N1/4092
    • A chromatic aberration (CA) correction technique is presented that substantially removes CA from an image captured by a digital camera. In general, the effects of any in-camera sharpening are reversed by applying a blurring kernel. The image is then super-sampled to approximate its state prior to the application of in-camera sampling. One of the color channels is designated as a reference channel, and an objective function is established for each of the non-reference channels. The reference color channel is assumed to be CA-free, while the objective functions are used to compute the unknown CA parameters for each non-reference channel. These sets are used in a CA removal function to substantially remove the CA associated with each of the non-reference channels. The image is then sampled to return it to its original resolution, and a sharpening filter is applied if needed to undo the effects of the previously applied blurring kernel.
    • 提出了一种色差(CA)校正技术,其基本上从数字照相机拍摄的图像中除去CA。 通常,通过应用模糊内核,任何相机内锐化的效果都会相反。 然后在应用相机内采样之前,将图像超采样以近似其状态。 一个颜色通道被指定为参考通道,并且为每个非参考通道建立目标函数。 假设参考色彩通道是无CA的,而目标函数用于计算每个非参考通道的未知CA参数。 这些组用于CA删除功能,以基本上移除与每个非参考信道相关联的CA。 然后对图像进行采样以将其恢复到其原始分辨率,并且如果需要,则应用锐化滤波器来撤销先前应用的模糊内核的效果。