METHOD FOR 3D MODELLING BASED ON STRUCTURE FROM MOTION PROCESSING OF SPARSE 2D IMAGES

    公开(公告)号:EP3382644A1

    公开(公告)日:2018-10-03

    申请号:EP18164011.1

    申请日:2018-03-26

    Applicant: 3Dflow srl

    Abstract: A method based on Structure from Motion for processing a plurality of sparse images acquired by one or more acquisition devices to generate a sparse 3D points cloud and of a plurality of internal and external parameters of the acquisition devices includes the steps of collecting the images; extracting keypoints therefrom and generating keypoint descriptors; organizing the images in a proximity graph; pairwise image matching and generating keypoints connecting tracks according maximum proximity between keypoints; performing an autocalibration between image clusters to extract internal and external parameters of the acquisition devices, wherein calibration groups are defined that contain a plurality of image clusters and wherein a clustering algorithm iteratively merges the clusters in a model expressed in a common local reference system starting from clusters belonging to the same calibration group; and performing a Euclidean reconstruction of the object as a sparse 3D point cloud based on the extracted parameters.

    VIDEO FRAME PROCESSING FOR MOTION COMPARISON

    公开(公告)号:EP3376436A1

    公开(公告)日:2018-09-19

    申请号:EP18164970.8

    申请日:2017-07-13

    Abstract: A method is disclosed of processing a sequence of video frames showing motion of a subject to compare the motion of the subject with a reference motion. The method comprises storing at least one reference motion data frame defining a reference motion, each reference motion data frame corresponding to respective first and second reference video frames in a sequence of video frames showing the reference motion and comprising a plurality of optical flow vectors, each optical flow vector corresponding to a respective area segment defined in the first reference video frame and a corresponding area segment defined in the second reference video frame and defining optical flow between the area segment defined in the first reference video frame and the area segment defined in the second reference video frame. The method further comprises receiving a sequence of video frames to be processed. The method further comprises processing at least one pair of the received video frames to generate a motion data frame defining motion of a subject between the pair of received video frames. Each pair of received video frames that is processed is processed by, for each area segment of the reference video frames, determining a corresponding area segment in a first video frame of the pair and a corresponding area segment in a second video frame of the pair. Each of the pairs of received video frames is further processed by, for each determined pair of corresponding area segments, comparing the area segments and generating an optical flow vector defining optical flow between the area segments. Each of the pairs of received video frames is further processed by generating a motion data frame for the pair of received video frames, the motion data frame comprising the optical flow vectors generated for the determined pairs of corresponding area segments. The method further comprises comparing the at least one reference motion data frame defining the reference motion to the at least one generated motion data frames defining the motion of the subject and generating a similarity metric for the motion of the subject and the reference motion.

    INFORMATION PROCESSING DEVICE, MOVE LOCUS INFORMATION OUTPUT METHOD AND PROGRAM

    公开(公告)号:EP3340210A1

    公开(公告)日:2018-06-27

    申请号:EP17198837.1

    申请日:2017-10-27

    Inventor: IMAMURA, Keiichi

    Abstract: A portable terminal (1) includes an information acquisition unit (55), an output control unit (56) and an output unit (20). The information acquisition unit (55) acquires move locus information on a move due to daily behavior of a user and a move due to non-daily behavior. The output control unit (56) controls an output unit (20) such that the output unit (20) outputs the acquired move locus information in a state where it is possible to distinguish the move due to non-daily behavior of the user. In this way, in the portable terminal (1), the acquired move locus information on the move due to daily behavior of the user and the move due to non-daily behavior can be output in a state where it is possible to distinguish the move due to non-daily behavior of the user.

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