Method for detecting salient region of stereoscopic image

Patent №

US 9,501,715

Granted

2016-11-22

Filed 2015

Owner

BEIJING UNIVERSITY OF TECHNOLOGY

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14603282

The present invention discloses a method for detecting a salient region of a stereoscopic image, comprising: step 1) calculating flow information of each pixel separately with respect to a left-eye view and a right-eye view of the stereoscopic image; step 2) matching the flow information, to obtain a parallax map; step 3) selecting one of the left-eye view and the right-eye view, dividing it into T non-overlapping square image blocks; step 4) calculating a parallax effect value for each of the image blocks of the parallax map; step 5) for each of the image blocks of the selected one of the left-eye view and the right-eye view, calculating a central bias feature value and a spatial dissimilarity value, and multiplying the three values, to obtain a saliency value of the image block; and step 6) obtaining a saliency gray scale map of the stereoscopic image from saliency values of the image blocks. The present invention provides a method for extracting stereoscopic saliency based on parallax effects and spatial dissimilarity, acquiring depth information by utilizing parallax, and combining visual central bias feature and spatial dissimilarity to realize more accurate detection of a stereoscopic salient region.

Machine learningVisionAI hardwareG06T 7/13G06T 5/10G06T 7/174G06T 7/269G06V 10/25G06V 10/451G06T 2207/10012G06T 2207/10021+1 more

AI classification

Vision1.00
AI hardware0.73
Machine learning0.59
Natural language0.03
Evolutionary computation0.02
Speech0.00
Knowledge representation0.00
Planning0.00

Ownership

BEIJING UNIVERSITY OF TECHNOLOGY

assignment · 347940780

Assignors

DUAN, LIJUAN, QIU, SHUO, MA, WEI, MIAO, JUN, LI, JIA

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

From the same owner

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