Dual 2-d images-based approach for objects´ 3-D characterization and localization for Machine-Awareness in indoor environment

3-D spatial characterization of objects is a key-step in machine-awareness and autonomous knowledge extraction. In this paper we describe a dual images-based approach for objects´ 3-D characterization and localization for Machine-Awareness in indoor environment. The so-called dual images are provided by color and depth cameras of Kinect system, which presents an appealing potential for 3D objects modeling and localization. In this research work, the aforementioned images are used to extract, to recognize and to spatially characterize objects and the distance between objects in 3-D environment. Experimental results validating the investigated approach are reported and discussed.