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What and Where: 3D Object Recognition with Accurate Pose
[chapter]
2006
Lecture Notes in Computer Science
Many applications of 3D object recognition, such as augmented reality or robotic manipulation, require an accurate solution for the 3D pose of the recognized objects. This is best accomplished by building a metrically accurate 3D model of the object and all its feature locations, and then fitting this model to features detected in new images. In this chapter, we describe a system for constructing 3D metric models from multiple images taken with an uncalibrated handheld camera, recognizing these
doi:10.1007/11957959_4
fatcat:7t2lpab6avg3dmzufgwn2geoiq