A 3D Model's Rotation Normalization Approach Conforming to Normal Distributions

The pose adjustment of 3D models is an important preprocess for 3D model retrieval,while its focus is on rotation normalization.An approach to further adjust the rotation axes determined by Continuous PCA is presented according to the surface normal distributions.Based on people's cognition convention,the normal distributions of 3D models are classified into three cases:with no obvious normal clustering,with one obvious direction of normal clustering,with two obvious directions of normal clustering.We then make the classification based on the normal distribution histograms and adjust the rotation axes conforming to the classification result.Experimental results show that our approach can produce more reasonable rotation normalization results than continuous PCA.