LIGHT PROJECTION SYSTEMS
    2.
    发明申请

    公开(公告)号:US20200320725A1

    公开(公告)日:2020-10-08

    申请号:US16650120

    申请日:2018-09-25

    Abstract: An optoelectronic system for collecting three-dimensional data of a scene over a minimum and maximum distance includes illumination modules, each of which is operable to generate a respective light pattern having a respective period. An imaging module is operable to collect a scene-reflected portion of each of the light patterns and is further operable to convert each collected portion into a respective signal set. Each scene-reflected portion is characterized by a respective plurality of ambiguity values and a minimum disparity value, and wherein each signal set corresponds to a respective one of the light patterns. The system includes a processor, and a non-transitory computer-readable medium comprising instructions stored thereon that, when executed by the processor, cause the processor to perform operations for determining a plurality of candidate three-dimensional data sets. Each candidate three-dimensional data set is determined from a respective one of the signal sets. The instructions also cause the processor to perform further operations for determining three-dimensional data of the scene from the plurality of candidate three-dimensional data sets.

    Generating a merged, fused three-dimensional point cloud based on captured images of a scene

    公开(公告)号:US10699476B2

    公开(公告)日:2020-06-30

    申请号:US15749825

    申请日:2016-08-04

    Abstract: Presenting a merged, fused three-dimensional point cloud includes acquiring multiple sets of images of a scene from different vantage points, each set of images including respective stereo matched images and a color image. For each respective set of images, a disparity map based on the plurality of stereo images is obtained, data from the color image is fused onto the disparity map so as to generate a fused disparity map, and a three-dimensional fused point cloud is created from the fused disparity map. The respective three-dimensional fused point clouds is merged together so as to obtain a merged, fused three-dimensional point cloud. The techniques can be advantageous even under the constraints of sparseness and low-depth resolution, and are suitable, in some cases, for real-time or near real-time applications in which computing time needs to be reduced.

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