公开(公告)号：US10909349B1

公开(公告)日：2021-02-02

申请号：US16450499

申请日：2019-06-24

Applicant: Amazon Technologies, Inc.

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

IPC: G06K9/00 ,  G06N3/08 ,  G06K9/62 ,  G06T17/20 ,  G06F17/15 ,  G06K9/32 ,  G06N20/00

Abstract: Techniques are generally described for object detection in image data. First image data comprising a three-dimensional model representing an object may be received. First background image data comprising a first plurality of pixel values may be received. A first feature vector representing the three-dimensional model may be generated. A second feature vector representing the first plurality of pixel values of the first background image data may be generated. A first machine learning model may generate a transformed representation of the three-dimensional model using the first feature vector. First foreground image data comprising a two-dimensional representation of the transformed representation of the three-dimensional model may be generated. A frame of composite image data may be generated by combining the first foreground image data with the first background image data.

公开(公告)号：US11631260B1

公开(公告)日：2023-04-18

申请号：US17132738

申请日：2020-12-23

Applicant: Amazon Technologies, Inc.

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

IPC: G06K9/00 ,  G06V20/64 ,  G06N3/084 ,  G06K9/62 ,  G06T17/20 ,  G06N20/00 ,  G06F17/15 ,  G06V10/25

Abstract: Techniques are generally described for object detection in image data. First image data comprising a three-dimensional model representing an object may be received. First background image data comprising a first plurality of pixel values may be received. A first feature vector representing the three-dimensional model may be generated. A second feature vector representing the first plurality of pixel values of the first background image data may be generated. A first machine learning model may generate a transformed representation of the three-dimensional model using the first feature vector. First foreground image data comprising a two-dimensional representation of the transformed representation of the three-dimensional model may be generated. A frame of composite image data may be generated by combining the first foreground image data with the first background image data.