Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Shadows encode a porful geometric cue: if one pixel casts a shadow onto another, then the two pixels are colinear with the lighting direction. Given many images over many lighting directions, this constraint can be leveraged to recover the depth of a scene from a single viewpoint. For outdoor scenes with solar illumination,  term this the episolar constraint, which provides a convex optimization to solve for the sparse depth of a scene from shadow correspondences, a method to reduce the search space when finding shadow correspondences, and a method to geometrically calibrate a camera using shadow constraints. Our method constructs a dense network of nonlocal constraints which complements recent work on outdoor photometric stereo and cloud based cues for 3D.  demonstrate results across a variety of time-lapse sequences from b cams "in the wild".
['Austin Abrams', 'Kylia Miskell', 'Robert Pless']
I am writing a research paper on a idea The Episolar Constraint: Monocular Shape from Shadow Correspondence
[{"from": "human", "value": "I am writing a research paper on a idea The Episolar Constraint: Monocular Shape from Shadow Correspondence"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Shadows encode a porful geometric cue: if one pixel casts a shadow onto another, then the two pixels are colinear with the lighting direction. Given many images over many lighting directions, this constraint can be leveraged to recover the depth of a scene from a single viewpoint. For outdoor scenes with solar illumination,  term this the episolar constraint, which provides a convex optimization to solve for the sparse depth of a scene from shadow correspondences, a method to reduce the search space when finding shadow correspondences, and a method to geometrically calibrate a camera using shadow constraints. Our method constructs a dense network of nonlocal constraints which complements recent work on outdoor photometric stereo and cloud based cues for 3D.  demonstrate results across a variety of time-lapse sequences from b cams \"in the wild\"."}]