Title :
A fast object recognition system using object appearances
Author_Institution :
Dept. of Electr. Eng., USAF Acad., CO, USA
Abstract :
The paper presents a novel appearance-model based fast object recognition system. The speed is achieved by avoiding much of the image processing required for feature extraction and by compactly representing object models in a subspace. Raw images of an object are transformed into an object model in an eigenvector space after a simple process that compresses the data size using a low pass spatial filter along with an interpolation method. The validity of the proposed scheme is demonstrated by a working model-airplane recognition system
Keywords :
aerospace computing; data compression; eigenvalues and eigenfunctions; image coding; interpolation; low-pass filters; object recognition; appearance-model based fast object recognition; data size compression; eigenvector space; fast object recognition system; feature extraction; image processing; interpolation method; low pass spatial filter; object appearances; object model; object models; raw images; subspace; working model-airplane recognition system; Airplanes; Cameras; Covariance matrix; Data mining; Feature extraction; Image processing; Matrix decomposition; Object recognition; Presses; Sensor phenomena and characterization;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.884418
