閱讀筆記：Visual comfort assessment for stereoscopic images based on sparse coding with multi-scale dict
Visual comfort assessment for stereoscopic images based on sparse coding with multi-scale dictionaries 題目：基於多尺度稀疏編碼字典的立體圖像舒適度評價 方法步驟：1.建立舒適度級別的多尺度字典2.估計測試樣本屬於每個級別的概率3.尋找概率對應的權重係數，求最後的舒適度分數 傳統方法的缺點：（傳統
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：A Visual Comfort Assessment Approach of Stereoscopic Images based on Random Forest Regressor
- 3. 閱讀筆記:Binocular Fusion Net: Deep Learning Visual Comfort Assessment for Stereoscopic 3D
- 4. 閱讀筆記：VISUALCOMFORTASSESSMENTOFSTEREOSCOPICIMAGES USINGDEEPVISUALANDDISPARITYFEATURESBAS
- 5. 閱讀筆記：Visual comfort evaluated by hue asymmetries in stereoscopic images
- 6. 閱讀筆記：3D visual discomfort predictor based on subjective perceived-constraint sparse representation
- 7. 論文閱讀筆記---MSTGAR: Multioperator-Based Stereoscopic Thumbnail Generation With Arbitrary Resolution
- 8. Visual saliency detection based on multiscale deep cnn features
- 9. 《A sparse annotation strategy based on attention-guided active learning for 3D medic》--閱讀筆記-Arxiv
- 10. [論文]Light Field Compression with Disparity Guided Sparse Coding based on Structural Key Views
- 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
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. 融合阿里雲，牛客助您找到心儀好工作
- 2. 解決jdbc(jdbctemplate)在測試類時不報錯在TomCatb部署後報錯
- 3. 解決PyCharm GoLand IntelliJ 等 JetBrains 系列 IDE無法輸入中文
- 4. vue+ant design中關於圖片請求不顯示的問題。
- 5. insufficient memory && Native memory allocation (malloc) failed
- 6. 解決IDEA用Maven創建的Web工程不能創建Java Class文件的問題
- 7. [已解決] Error: Cannot download ‘https://start.spring.io/starter.zip?
- 8. 在idea讓java文件夾正常使用
- 9. Eclipse啓動提示「subversive connector discovery」
- 10. 帥某-技巧-快速轉帖博主文章（article_content）
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：A Visual Comfort Assessment Approach of Stereoscopic Images based on Random Forest Regressor
- 3. 閱讀筆記:Binocular Fusion Net: Deep Learning Visual Comfort Assessment for Stereoscopic 3D
- 4. 閱讀筆記：VISUALCOMFORTASSESSMENTOFSTEREOSCOPICIMAGES USINGDEEPVISUALANDDISPARITYFEATURESBAS
- 5. 閱讀筆記：Visual comfort evaluated by hue asymmetries in stereoscopic images
- 6. 閱讀筆記：3D visual discomfort predictor based on subjective perceived-constraint sparse representation
- 7. 論文閱讀筆記---MSTGAR: Multioperator-Based Stereoscopic Thumbnail Generation With Arbitrary Resolution
- 8. Visual saliency detection based on multiscale deep cnn features
- 9. 《A sparse annotation strategy based on attention-guided active learning for 3D medic》--閱讀筆記-Arxiv
- 10. [論文]Light Field Compression with Disparity Guided Sparse Coding based on Structural Key Views