公开(公告)号：US10860836B1

公开(公告)日：2020-12-08

申请号：US16192433

申请日：2018-11-15

Applicant: Amazon Technologies, Inc.

Inventor： Ambrish Tyagi ,  Amit Kumar Agrawal ,  Siddhartha Chandra ,  Visesh Uday Kumar Chari ,  Shashank Tripathi ,  James Rehg

IPC: G06K9/00 ,  G06T7/194 ,  G06N3/08 ,  G06N20/00

Abstract: Techniques are generally described for object detection in image data. First image data comprising a first plurality of pixel values representing an object and a second plurality of pixel values representing a background may be received. First foreground image data and first background image data may be generated from the first image data. A first feature vector representing the first plurality of pixel values may be generated. A second feature vector representing a first plurality of pixel values of second background image data may be generated. A first machine learning model may determine a first operation to perform on the first foreground image data. A transformed representation of the first foreground image data may be generated by performing the first operation on the first foreground image data. Composite image data may be generated by compositing the transformed representation of the first foreground image data with the second background image data.

公开(公告)号：US10096122B1

公开(公告)日：2018-10-09

申请号：US15472041

申请日：2017-03-28

Applicant: Amazon Technologies, Inc.

Inventor： Amit Kumar Agrawal ,  Abhishek Singh ,  Visesh Uday Kumar Chari ,  Lelin Zhang ,  Qiang Liu ,  Rohith Mysore Vijaya Kumar ,  David Ting-Yu Wu

IPC: G06K9/00 ,  G06T7/194 ,  G06T7/90 ,  G06T11/60

Abstract: Devices and techniques are generally described for segmentation of object image data from background image data. In some examples, the segmentation of object image data may comprise capturing image data comprising color data and depth data. In some examples, the segmentation of object image data may further include separating the depth data into a plurality of clusters of image data, wherein each cluster is associated with a respective range of depth values. In various examples, the segmentation of object image data may comprise selecting a main cluster of image data as corresponding to an object of interest in the image data. In various other examples, the segmentation of object image data may comprise identifying pixels of the main cluster that correspond to the object of interest.