Position-Based Visual Servoing Using a Coded Structured Light Sensor

In this paper, we adress a novel visual servoing technique, let unknown environment with untextured objects by means of a structured light vision system. The scene surfaces are assumed to be piece-wise planar, however they are free to move and subjected to some deformations. We firstly present a robust coded pattern which allows a fast decoding and which quickly solves the correspondence problem between visual features. It call handle partial occlusions and it has been designed to navigate inside the human body with articulated endoscopes [1]. To cope with object modeling, we consider the case of locally planar deformable surfaces and we propose a position-based visual servoing (PBVS) approach with structured light onboard. Such a pattern is very appropriate as it is very robust wrt occlusions, a well-known problem with PBV5 when several visual features may get out of the camera field of view during the experiments.