Visual comfort assessment of stereoscopic images using deep visual and disparity features based on human attention

Research article (2017 IEEE International Conference on Image Processing (ICIP), 2017) · cited 16× · AI/ML
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Visual comfort assessment of stereoscopic images using deep visual and disparity features based on human attention

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Visual comfort assessment of stereoscopic images using deep visual and disparity features based on human attention is a scholarly article[1].

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  • Visual comfort assessment of stereoscopic images using deep visual and disparity features based on human attention's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Visual comfort assessment of stereoscopic images using deep visual and disparity features based on human attention. Retrieved May 24, 2026, from https://4ort.xyz/entity/visual-comfort-assessment-of-stereoscopic-images-using-deep-visual-and-disparity-features-based-on-human-attention
MLA “Visual comfort assessment of stereoscopic images using deep visual and disparity features based on human attention.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/visual-comfort-assessment-of-stereoscopic-images-using-deep-visual-and-disparity-features-based-on-human-attention.
BibTeX @misc{4ortxyz_visual-comfort-assessment-of-stereoscopic-images-using-deep-visual-and-disparity-features-based-on-human-attention_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Visual comfort assessment of stereoscopic images using deep visual and disparity features based on human attention}}, year = {2026}, url = {https://4ort.xyz/entity/visual-comfort-assessment-of-stereoscopic-images-using-deep-visual-and-disparity-features-based-on-human-attention}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Visual comfort assessment of stereoscopic images using deep visual and disparity features based on human attention — https://4ort.xyz/entity/visual-comfort-assessment-of-stereoscopic-images-using-deep-visual-and-disparity-features-based-on-human-attention (retrieved 2026-05-24)

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