1 research outputs found
3D Wide Baseline Correspondences using Depth-maps
Points matching between two or more images of a scene shot from different
viewpoints is the crucial step to defining epipolar geometry between views,
recover the camera’s egomotion or build a 3D model of the framed scene. Unfortunately
in most of common cases robust correspondences between points
in different images can be defined only when small variations in viewpoint
position, focal length or lighting are present between images. While in all
the other conditions ad-hoc assumptions on the 3D scene or just weak correspondences
can be used. In this paper, we present a novel matching method
where depth-maps, nowadays available from cheap and off the shelf devices,
are integrated with 2D images to provide robust descriptors even when wide
baseline or strong lighting variations are present