Three-dimensional object recognition and classification using range and texture image
Nie Shouping · Journal of Optoelectronics·laser · 2010
The range image and the texture image are combined to recognize and classify the three-dimensional(3D) objects which rotate around the fixed axis.The range image is considered as a phase factor,and then the phase Fourier transform of the factor is used to build a 3D object orientation map,which is used for 3D objects identification and to detect the rotation angle;The texture images are processed by principal component analysis(PCA),and the feature vectors are selected.According to the detected angle,we choose the corresponding feature space to decompose and reconstruct the texture image of 3D object.The results indicate that the proposed scheme can reduce the error rate of object recognition obviously.