METHOD AND APPARATUS FOR CALIBRATING SAMPLING OPERATIONS FOR AN OBJECT DETECTION PROCESS

Patent №

US 7,440,587

Granted

2008-10-21

Filed 2004

Owner

ADOBE SYSTEMS, INCORPORATED

Lab

AI components

3

ml · vision · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10997395

One embodiment of the present invention provides a system that detects an object in an image. During operation, the system determines a relationship between sampling parameters and a detection rate for an object detection process. The system also determines a relationship between the sampling parameters and a detection speed for the object detection process. The system uses the determined relationships to generate specific sampling parameters. Next, the system performs the object detection process, wherein the object detection process uses the sampling parameters to sample locations in the image. This sampling process is used to refine the search for the object by identifying locations that respond to an object detector and are hence likely to be proximate to an instance of the object.

AI classification

Vision1.00
Knowledge representation0.99
Machine learning0.56
Planning0.36
Evolutionary computation0.12
Natural language0.00
AI hardware0.00
Speech0.00

Ownership

ADOBE SYSTEMS, INCORPORATED

assignment · 160320218

Assignors

BOURDEV, LUBOMIR D.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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