公开(公告)号：US20170223332A1

公开(公告)日：2017-08-03

申请号：US15277572

申请日：2016-09-27

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Ping GUO ,  Dongqing ZOU ,  Qiang WANG ,  Baek Hwan CHO ,  Keun Joo PARK

IPC: H04N13/00

CPC classification number: H04N13/128 ,  H04N13/122 ,  H04N13/239 ,  H04N2013/0081

Abstract: A method and apparatus for acquiring an image disparity are provided. The method may include acquiring, from dynamic vision sensors, a first image having a first view of an object and a second image having a second view of the object; calculating a cost within a preset disparity range of an event of first image and a corresponding event of the second image; calculating an intermediate disparity of the event of the first image and an intermediate disparity of the event of the second image based on the cost; determining whether the event of the first image is a matched event based on the intermediate disparity of the event of the first image and the intermediate disparity of the event of the second image; and predicting optimal disparities of all events of the first image based on an intermediate disparity of the matched event of the first imaged.

公开(公告)号：US20180137647A1

公开(公告)日：2018-05-17

申请号：US15813668

申请日：2017-11-15

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jia LI ,  Qiang WANG ,  Feng SHI ,  Deheng QIAN ,  Dongqing ZOU ,  Hyunsurk Eric RYU ,  JinMan PARK ,  Jingtao XU ,  Keun Joo PARK ,  Weiheng LIU

IPC: G06T7/73 ,  G06K9/66 ,  G06T7/11

CPC classification number: G06T7/73 ,  G06K9/00805 ,  G06K9/4628 ,  G06K9/4671 ,  G06K9/6274 ,  G06K9/66 ,  G06N3/0445 ,  G06T7/11 ,  G06T2210/12

Abstract: The disclosure provides an object detection method and apparatus based on a Dynamic Vision Sensor (DVS). The method includes the following operations of: acquiring a plurality of image frames by a DVS; and, detecting the image frames by a recurrent coherent network to acquire a candidate box for objects to be detected, wherein the recurrent coherent network comprising a frame detection network model and a candidate graph model. By using a new recurrent coherent detection network, a bounding box for an object to be detected is fast detected from the data acquired by a DVS. The detection speed is improved greatly while ensuring the detection accuracy.

公开(公告)号：US20180137639A1

公开(公告)日：2018-05-17

申请号：US15812554

申请日：2017-11-14

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Dongqing ZOU ,  Feng SHI ,  Weiheng LIU ,  Deheng QIAN ,  Hyunsurk Eric RYU ,  Jia LI ,  Jingtao XU ,  Keun Joo PARK ,  Qiang WANG ,  Changwoo SHIN

IPC: G06T7/593 ,  H04N13/00

CPC classification number: G06T7/593 ,  G06T2207/10012 ,  G06T2207/10028 ,  H04N13/128 ,  H04N13/239 ,  H04N2013/0081

Abstract: Exemplary embodiments provide an image vision processing method, device and equipment and relate to: determining parallax and depth information of event pixel points in a dual-camera frame image acquired by Dynamic Vision Sensors; determining multiple neighboring event pixel points of each non-event pixel point in the dual-camera frame image; determining, according to location information of each neighboring event pixel point of each non-event pixel point, depth information of the non-event pixel point; and performing processing according to the depth information of each pixel point in the dual-camera frame image. Since non-event pixel points are not required to participate in the matching of pixel points, even if it is difficult to distinguish between the non-event pixel points or the non-event pixel points are occluded, depth information of the non-event pixel points can be accurately determined according to the location information of neighboring event pixel points.