Fig. 10From: Local shape feature fusion for improved matching, pose estimation and 3D object recognitionEffect of dimension reduction. Any feature vector can be compressed using PCA with minimal loss of accuracy, and in one case (ECSAD) even leading to increased accuracy. For each of the PCA-reduced features, the number of components is shown in the first parenthesis Back to article page