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閱讀筆記:A Visual Comfort Assessment Approach of Stereoscopic Images based on Random Forest Regressor
時間 2021-07-12
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基於隨機森林迴歸的立體圖像舒適度預測方法 數據庫:NBU S3D-VCA和IVY 框圖: 輸入原始圖像,用頻譜殘差的方法得到saliency圖,用光流法得到disparity圖,二者線性融合得到3D saliency圖,二值化得到VIR圖,用隨機森林的方法融合視差和圖像內容特徵,最後預測。 特徵種類: 內容特徵:圖像對比度 灰階值之差的平方乘以灰度值之差 紋理: 熵值,能量,標準差 mean是整個
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相關文章
1.
閱讀筆記:VISUAL COMFORT ASSESSMENT FOR STEREOSCOPIC 3D IMAGES BASED ON SALIENT DISCOMFORT REGIONS
2.
閱讀筆記:Visual comfort assessment for stereoscopic images based on sparse coding with multi-scale dict
3.
閱讀筆記:VISUALCOMFORTASSESSMENTOFSTEREOSCOPICIMAGES USINGDEEPVISUALANDDISPARITYFEATURESBAS
4.
閱讀筆記:Binocular Fusion Net: Deep Learning Visual Comfort Assessment for Stereoscopic 3D
5.
閱讀筆記:Visual comfort evaluated by hue asymmetries in stereoscopic images
6.
Towards a Diffraction-based Sensing Approach on Human Activity Recognition論文閱讀筆記
7.
13----Prediction of Road Traffic Congestion Based on Random Forest
8.
論文閱讀筆記---MSTGAR: Multioperator-Based Stereoscopic Thumbnail Generation With Arbitrary Resolution
9.
From Depth Data to Head Pose Estimation: a Siamese approach----論文閱讀筆記
10.
【閱讀筆記】【CVPR2019】【SiamMask】Fast Online Object Tracking and Segmentation: A Unifying Approach
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