Abstract: Systems and methods for detecting surface anomalies are disclosed. For example, a computer-implemented method for detecting surface anomalies on an object comprises receiving measured electromagnetic radiation (EMR) profiles for the object, generating synthetic EMR profiles for the object based on the measured EMR profiles, determining whether the object contains a surface anomaly based on the measured EMR profiles and the synthetic EMR profiles, and indicating a surface anomaly to a user via a display when a surface anomaly is detected. In another example, a system comprises a computing device comprising non-transitory memory with computer-readable instructions for receiving unpaired image data of an object of two different image types, predicting missing image data to generate paired image data of the two different image types, and determining whether the object contains a surface anomaly based on the paired image data.

Abstract: A method of recognizing an object, and a device therefor are provided. The method includes obtaining first sensing data from a first sensor that senses the object, obtaining second sensing data from a second sensor that senses the object, obtaining a first object recognition reliability for the object and a second object recognition reliability for the object respectively based on the first sensing data and the second sensing data, based on the first object recognition reliability and the second object recognition reliability, matching object information of the object recognized using the second sensing data to the first sensing data, and storing the matched object information in a database of one of the first sensor and the second sensor.