Self-supervised Monocular Depth Estimation on Water Scenes via Specular Reflection Prior

arXiv:2404.07176v1 Announce Type: new
Abstract: Monocular depth estimation from a single image is an ill-posed problem for computer vision due to insufficient reliable cues as the prior knowledge. Besides the inter-frame supervision, namely stereo and adjacent frames, extensive prior information is available in the same frame. Reflections from specular surfaces, informative intra-frame priors, enable us to reformulate the ill-posed depth estimation task as a multi-view synthesis. This paper proposes the first self-supervision for deep-learning depth estimation on water scenes via …

abstract arxiv computer computer vision cs.cv image information knowledge prior reflections supervision type via vision water