阅读笔记：VISUAL COMFORT ASSESSMENT FOR STEREOSCOPIC 3D IMAGES BASED ON SALIENT DISCOMFORT REGIONS
题目：VISUAL COMFORT ASSESSMENT FOR STEREOSCOPIC 3D IMAGES BASED ON SALIENT DISCOMFORT REGIONS 基于立体3D图像显著不舒适区域的视觉舒适度评估 舒适度分数的获取方法：由显著权重视差和最大视差加权的视差特征向量获得，其中显著权重视差由色彩显著图和视差显著图得到 整体框图： Sc获取方法:GBVS基于图像的视觉显著
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相关文章
- 1. 阅读笔记：A Visual Comfort Assessment Approach of Stereoscopic Images based on Random Forest Regressor
- 2. 阅读笔记：Visual comfort assessment for stereoscopic images based on sparse coding with multi-scale dict
- 3. 阅读笔记:Binocular Fusion Net: Deep Learning Visual Comfort Assessment for Stereoscopic 3D
- 4. 阅读笔记：VISUALCOMFORTASSESSMENTOFSTEREOSCOPICIMAGES USINGDEEPVISUALANDDISPARITYFEATURESBAS
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- 8. NIMA：Neural Image Assessment论文阅读笔记
- 9. 阅读笔记：3-D Visual Discomfort Assessment Considering Optical and Neural Attention Models
- 10. A Simple Pooling-Based Design for Real-Time Salient Object Detection阅读笔记