Invention Grant
- Patent Title: Automatically merging people and objects from multiple digital images to generate a composite digital image
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Application No.: US16803332Application Date: 2020-02-27
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Publication No.: US11574392B2Publication Date: 2023-02-07
- Inventor: Zhe Lin , Vipul Dalal , Vera Lychagina , Shabnam Ghadar , Saeid Motiian , Rohith mohan Dodle , Prethebha Chandrasegaran , Mina Doroudi , Midhun Harikumar , Kannan Iyer , Jayant Kumar , Gaurav Kukal , Daniel Miranda , Charles R McKinney , Archit Kalra
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Preece PLLC
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06V40/16 ; G06T5/50 ; G06T7/11 ; G06T7/70

Abstract:
The present disclosure relates to an image merging system that automatically and seamlessly detects and merges missing people for a set of digital images into a composite group photo. For instance, the image merging system utilizes a number of models and operations to automatically analyze multiple digital images to identify a missing person from a base image, segment the missing person from the second image, and generate a composite group photo by merging the segmented image of the missing person into the base image. In this manner, the image merging system automatically creates merged group photos that appear natural and realistic.
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