MULTOCULAR IMAGING SYSTEM, SYNTHESIS PROCESS METHOD OF ACQUIRED IMAGES, AND PROGRAM
    11.
    发明申请
    MULTOCULAR IMAGING SYSTEM, SYNTHESIS PROCESS METHOD OF ACQUIRED IMAGES, AND PROGRAM 有权
    文化图像系统,采集图像的合成过程方法和程序

    公开(公告)号:US20160098852A1

    公开(公告)日:2016-04-07

    申请号:US14893484

    申请日:2014-04-22

    Abstract: A basis image is converted into a more functional image by image synthesis technology using a number of imaging devices arranged independently of each other. A multocular imaging system is provided with a plurality of imaging parts that can be arranged independently of each other, a similar component search part operable to acquire a basis image outputted from at least one imaging part of the plurality of imaging parts and a reference image outputted from another imaging part of the plurality of imaging parts and to search a similar component included in the reference image for each of components included in the basis image, and an image synthesis part operable to perform a synthesis process on at least one component included in the basis image into a desired image with reference to the similar component extracted by the similar component search part and to output the desired image as a synthesis image.

    Abstract translation: 通过使用彼此独立排列的多个成像装置的图像合成技术将基础图像转换为更多功能的图像。 多个成像系统具有能够相互独立排列的多个成像部,具有可以从多个成像部的至少一个成像部输出的基础图像和输出的基准图像的相似成分检索部, 从所述多个成像部件的另一成像部分中搜索包括在所述基础图像中的每个部件的所述参考图像中的类似部件,以及可操作以对包括在所述基础图像中的至少一个部件执行合成处理的图像合成部分 参考由相似分量搜索部分提取的相似分量并将所需图像作为合成图像输出到所需图像中。

    OBJECT DETECTION APPARATUS, OBJECT DETECTION SYSTEM, OBJECT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM

    公开(公告)号:US20220215579A1

    公开(公告)日:2022-07-07

    申请号:US17604494

    申请日:2019-04-22

    Abstract: Please delete the Abstract of the Disclosure, and replace it with the following: An input image acquisition unit acquires a plurality of input images in which a specific detection target is captured by a plurality of different modalities. A perturbed image acquisition unit acquires a plurality of perturbed images in which at least one of the plurality of input images is perturbed. A detection processing unit detects a detection target included in the input images using each of the plurality of perturbed images and one of the plurality of input images that has not been perturbed, and acquires, for each of the plurality of perturbed images, a detection position of the detection target and a detection confidence level as detection results. An adjustment unit calculates, based on the detection positions and the confidence levels acquired for the plurality of perturbed images, an adjusted confidence level for each of the perturbed images using integrated parameters.

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