Monocular Depth Perception Enhancement Based on Joint Shading/Contrast Model and Motion Parallax (JSM)

2026-05-17

AI Summary

This study addresses the limitations of conventional stereoscopic 3D displays, which rely on binocular disparity, require specialized hardware, and often induce visual fatigue, thereby failing to effectively convey depth on standard 2D screens. To overcome these challenges, this work proposes the Joint Shading and Motion (JSM) framework—the first approach to integrate joint modeling of shading and contrast cues with motion parallax for monocular depth enhancement without requiring any special hardware. The method operates independently on conventional 2D or 3D displays and complements binocular cues, significantly improving perceived depth volume and range. Through ablation studies, qualitative analysis, and user subjective evaluations, the effectiveness and practical utility of JSM in enhancing depth perception are rigorously validated.

Abstract

Stereoscopic 3D displays adopt a binocular depth cue to provide depth perception. However, users should be equipped with expensive special devices to appreciate depth perception based on the binocular depth cues. Also, visual fatigue induced by the stereoscopic display is still a challenging open problem. In order to overcome this limitation, this paper proposes a novel framework, JSM, to enhance monocular depth perception, significantly improving both depth volume perception and depth range perception. The proposed framework can not only provide an enhanced depth perception on any conventional 2D display devices, but also it can be applicable to the 3D display devices since it is complementary to binocular depth cues. The qualitative evaluation, ablation study, and subjective user evaluation proved the advantages and practicability of the proposed framework.

Problem

• monocular depth perception
• stereoscopic 3D displays
• visual fatigue
• binocular depth cues
• 2D display

Innovation

• Monocular depth perception
• Joint shading/contrast model
• Motion parallax
• Depth enhancement
• Stereoscopic fatigue