Robust sequential view planning for object recognition using multiple cameras
Image and Vision Computing
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We present a modular architecture for image understanding and active computer vision which consists of the following major components: sensor and actor interfaces required for data-driven active vision are encapsulated to hide machine-dependent parts; image segmentation is implemented in object-oriented programming as a hierarchy of image operator classes, guaranteeing simple and uniform interfaces. We apply this architecture to appearance-based object recognition. This is used for an autonomous mobile service robot which has to locate objects using visual sensors.