Invention Grant
- Patent Title: Simultaneous object detection and rigid transform estimation using neural network
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Application No.: US15441114Application Date: 2017-02-23
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Publication No.: US10262218B2Publication Date: 2019-04-16
- Inventor: Hee-Seok Lee , Duck Hoon Kim
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Polsinelli LLP
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06K9/00 ; G06K9/46 ; G06T7/13 ; G06T7/168 ; G06T7/50 ; G06K9/62

Abstract:
A method, a computer-readable medium, and an apparatus for object detection are provided. The apparatus may determine a regression vector using a neural network based on an input image that contains an object. The object may have a planar surface with a known shape. The apparatus may derive a transform matrix based on the regression vector. The apparatus may identify a precise boundary of the object based on the transform matrix. The precise boundary of the object may include a plurality of vertices of the object. To identify the boundary of the object, the apparatus may apply the transform matrix to a determined shape of the object.
Public/Granted literature
- US20180189580A1 SIMULTANEOUS OBJECT DETECTION AND RIGID TRANSFORM ESTIMATION USING NEURAL NETWORK Public/Granted day:2018-07-05
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