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Model-based approaches in recognition and planning of robots work effectively, and these approaches can apply to model-less situation using autonomous model construction by an agent. There are problems about segmentation or shape fitting of various objects with different scales or shapes. In this paper, we construct a Head-mounted 3D multi sensor for 3D environment modeling and propose a method of...
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is a challenging vision problem owing to the non-homogeneous texture of objects and the random configurations of multiple objects in each scene. We present a solution to the following question: given a collection of images where...
This paper presents a segmentation and recognition method of 3D objects in automatic navigation. In the first part of this paper, a segmentation method based on nautical scene is proposed, which is composed of image preprocess, ROI detection, subarea process and object detection. In addition, an applied visual resolution calculation method is presented to control the simplification of original 3D...
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