Dense Reconstruction Using Fixation and Stereo Cues
نویسندگان
چکیده
In this paper, we investigate the issue of accurate estimation of the three-dimensional (3D) coordinates of a static scene from real images, combining xation and stereo cues. We may need to compute 3D data in many applications: vehicle positioning and maneuver, object observation and recognition, moving or xed obstacle avoidance, 3D mapping for surveillance, etc. More speci cally, we discuss the idea of using xation to recover the 3D coordinates of some points in the robotic frame to help an uncalibrated camera to reconstruct a static scene.
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