JavaShuo
欄目
標籤
閱讀筆記:A Visual Comfort Assessment Approach of Stereoscopic Images based on Random Forest Regressor
時間 2021-07-12
標籤
舒適度
計算機視覺
欄目
圖片處理
简体版
原文
原文鏈接
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
>>阅读原文<<
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
更多相關文章...
•
RSS 閱讀器
-
RSS 教程
•
PHP 實例 - AJAX RSS 閱讀器
-
PHP教程
•
Tomcat學習筆記(史上最全tomcat學習筆記)
•
JDK13 GA發佈:5大特性解讀
相關標籤/搜索
閱讀筆記
assessment
comfort
based
forest
approach
images
random
閱讀
讀書筆記
快樂工作
圖片處理
MyBatis教程
Redis教程
Thymeleaf 教程
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
【Java8新特性_尚硅谷】P1_P5
2.
SpringSecurity 基礎應用
3.
SlowFast Networks for Video Recognition
4.
074-enable-right-click
5.
WindowFocusListener窗體焦點監聽器
6.
DNS部署(二)DNS的解析(正向、反向、雙向、郵件解析及域名轉換)
7.
Java基礎(十九)集合(1)集合中主要接口和實現類
8.
瀏覽器工作原理學習筆記
9.
chrome瀏覽器構架學習筆記
10.
eclipse引用sun.misc開頭的類
本站公眾號
歡迎關注本站公眾號,獲取更多信息
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
>>更多相關文章<<