CVSep 24, 2017

3D Camouflaging Object using RGB-D Sensors

arXiv:1709.08271v11 citations
AI Analysis

This addresses the problem of visual concealment in augmented reality or surveillance applications, but it appears incremental as it builds on existing camouflage and sensor-based tracking methods.

The paper tackles the problem of concealing an object behind a display in a 3D environment by proposing an optical camouflage system that uses RGB-D sensors to track an observer's eyes and estimate shadow shapes on background objects, enabling effective concealment.

This paper proposes a new optical camouflage system that uses RGB-D cameras, for acquiring point cloud of background scene, and tracking observers eyes. This system enables a user to conceal an object located behind a display that surrounded by 3D objects. If we considered here the tracked point of observer s eyes is a light source, the system will work on estimating shadow shape of the display device that falls on the objects in background. The system uses the 3d observer s eyes and the locations of display corners to predict their shadow points which have nearest neighbors in the constructed point cloud of background scene.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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