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Issue No.12 - December (2000 vol.22)
pp: 1460-1467
ABSTRACT
<p><b>Abstract</b>—We describe an automated scene modeling system that consists of two components operating in an interleaved fashion: an incremental modeler that builds solid models from range imagery and a sensor planner that analyzes the resulting model and computes the next sensor position. This planning component is target-driven and computes sensor positions using model information about the imaged surfaces and the unexplored space in a scene. The method is shape-independent and uses a continuous-space representation that preserves the accuracy of sensed data. It is able to completely acquire a scene by repeatedly planning sensor positions, utilizing a partial model to determine volumes of visibility for contiguous areas of unexplored scene. These visibility volumes are combined with sensor placement constraints to compute sets of occlusion-free sensor positions that are guaranteed to improve the quality of the model. We show results for the acquisition of a scene that includes multiple, distinct objects with high occlusion.</p>
INDEX TERMS
3D scene reconstruction, model acquisition, sensor planning, active vision.
CITATION
Michael K. Reed, Peter K. Allen, "Constraint-Based Sensor Planning for Scene Modeling", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.22, no. 12, pp. 1460-1467, December 2000, doi:10.1109/34.895979
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