閱讀筆記：3D Visual Discomfort Predictor: Analysis of Horizontal Disparity and Neural Activity Statistics
題目：三維視覺不適度預測：對水平視差和神經活動的分析 特徵：粗特徵：雙目視差統計；細特徵：與水平視差相關聯的神經活動 前提：雙目融合的實現是通過神經機制，神經反應直接涉及到3D感知的控制和體驗，許多研究發現視覺不適與視差有關，使用神經反應模型可以獲取水平視差的定向研究。眼動聚散的變化引起了視覺不適， 原理：人腦的水平視差和聚散控制： 視網膜將收到的光信號轉化爲電信號，傳給LGN外側膝狀體，此時左右
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相關文章
- 1. 閱讀筆記：3D visual discomfort predictor based on subjective perceived-constraint sparse representation
- 2. 閱讀筆記：3-D Visual Discomfort Assessment Considering Optical and Neural Attention Models
- 3. 閱讀筆記--CAN GRAPH NEURAL NETWORKS GO 「ONLINE」? AN ANALYSIS OF PRETRAINING AND INFERENCE
- 4. 閱讀筆記：VISUALCOMFORTASSESSMENTOFSTEREOSCOPICIMAGES USINGDEEPVISUALANDDISPARITYFEATURESBAS
- 5. 閱讀筆記：VISUAL COMFORT ASSESSMENT FOR STEREOSCOPIC 3D IMAGES BASED ON SALIENT DISCOMFORT REGIONS
- 6. MUNN：Mutation Analysis of neural networks論文閱讀
- 7. 《Show, Attend and Tell: Neural Image Caption Generation with Visual Attention》閱讀筆記
- 8. Distributed Representations of Sentences and Documents閱讀筆記
- 9. 《Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations》閱讀筆記
- 10. 《Graph Neural Networks: A Review of Methods and Applications》閱讀筆記