DEPTH IMAGE ENHANCEMENT FOR HARDWARE GENERATED DEPTH IMAGES
    3.
    发明申请
    DEPTH IMAGE ENHANCEMENT FOR HARDWARE GENERATED DEPTH IMAGES 有权
    深度图像增强硬件生成深度图像

    公开(公告)号:US20170041585A1

    公开(公告)日:2017-02-09

    申请号:US14820069

    申请日:2015-08-06

    Abstract: Techniques related to depth image enhancement for hardware generated depth images are discussed. Such techniques may include determining a depth image enhancement indicator for a depth image based on the depth image and a depth image model and generating pixel depth values for missing pixel depth values of the depth image when the depth image enhancement indicator indicates enhancement. The pixel depth values may be generated based on search windows that extend from a position greater than a predetermined disparity position to a maximum disparity position.

    Abstract translation: 讨论了与硬件生成的深度图像的深度图像增强相关的技术。 这样的技术可以包括当深度图像增强指示符指示增强时,基于深度图像和深度图像模型确定用于深度图像的深度图像增强指示符,并且为深度图像的缺失像素深度值生成像素深度值。 可以基于从大于预定视差位置的位置延伸到最大视差位置的搜索窗口来生成像素深度值。

    Material characterization from infrared radiation

    公开(公告)号:US10354387B2

    公开(公告)日:2019-07-16

    申请号:US15443751

    申请日:2017-02-27

    Abstract: Systems, apparatuses, and/or methods to characterize a material. For example, and apparatus may include a pattern receiver to receive an IR pattern corresponding to non-uniform IR radiation that is to result from an interaction with a material, such as a translucent material. The apparatus may further include a characterizer to make a characterization of the material, such as a translucent material, based on the IR pattern. The characterization may differentiate the material, such as a translucent material, from one or more other materials, such as one or more other translucent materials.

    Place recognition algorithm
    7.
    发明授权

    公开(公告)号:US10217221B2

    公开(公告)日:2019-02-26

    申请号:US15280951

    申请日:2016-09-29

    Abstract: A system for place recognition is described herein. The system for place recognition comprises a plurality of sensors, a memory, and a processor. The memory is to store instructions and is communicatively coupled to the plurality of sensors. The processor is communicatively coupled to the plurality of sensors and the memory. When the processor is to execute the instructions, the processor is to detect features in a current frame and extract descriptors of the features of the current frame. The processor is also to generate a vocabulary tree using the descriptors and determine candidate key frames based on the vocabulary tree and detected features. The processor also is to perform place recognition via a first stage matching and a second stage matching.

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