Method for Generating Three Dimensional Images

    公开(公告)号:US20180182117A1

    公开(公告)日:2018-06-28

    申请号:US15391267

    申请日:2016-12-27

    Applicant: INUITIVE LTD.

    Abstract: A method is provided for reconstructing a three dimensional image, comprising: providing a pair of stereoscopic images captured by two image capturing devices; retrieving disparity data from the pair of stereoscopic images; using retrieved disparity data to determine contours of an object present in the pair of the stereoscopic images captured; selecting a pixel belonging to that object; establishing a search area at the vicinity of the selected pixel; determining values for various disparity candidates, wherein the determined values correspond to one or more chosen hypothesis associated with the search area; testing the one or more chosen hypothesis and selecting an hypothesis which best fits the selected pixel and its neighboring pixels; executing a stereo matching algorithm using data retrieved from the captured images while using the values of disparity candidates that correspond to the chosen hypothesis; and reconstructing the three dimensional image based on the results obtained.

    A Method for Determining Depth for Stereoscopic Reconstruction of Three Dimensional Images

    公开(公告)号:US20170365066A1

    公开(公告)日:2017-12-21

    申请号:US15534231

    申请日:2015-12-06

    Applicant: INUITIVE LTD.

    CPC classification number: G06T7/593 G06F17/10 G06T1/60 G06T7/97 G06T2207/10012

    Abstract: A method is provided for obtaining a disparity map for reconstructing a three dimensional image. The map is based upon a large range of disparities and is obtained by using a hardware provided with a buffer capable of storing data that relates to substantially less disparities than a data associated with the large disparities' range. The method comprises the steps of: providing a pair of stereoscopic images captured by two image capturing devices; dividing the large disparities' range into N disparity ranges; executing a stereo matching algorithm for a plurality of times, using data retrieved from a pair of captured images, wherein the algorithm is executed each time while using a different disparity range out of the N disparity ranges, thereby obtaining a plurality of individual disparity maps, each corresponding to a different disparity range; and merging the individual disparity maps to generate a map of the large disparities' range.

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