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—This paper describes a method for recognizing partially occluded objects for bin-picking tasks using eigenspace analysis, referred to as the " eigen window " method, that stores multiple partial appearances of an object in an eigenspace. Such partial appearances require a large amount of memory space. Three measurements, detectability, uniqueness, and(More)
This paper describes a method for recognizing partially oc-cluded objects to realize a bin-picking task under dierent levels of illumination brightness by using the eigen-space analysis. In the proposed method, a measured color in the RGB color space is transformed into the HSV color space. Then, the hue of the measured color, which is invariant to change(More)
The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of ARPA, DOA, ONR or the U.S. government. Abstract This paper describes a method for recognizing partially occluded objects for bin-picking tasks using the eigen-space analysis.(More)