RIFNOM: 3D Rotation-Invariant Features on Normal Maps

By studying the constraints of geometric primitives under perspective projection, and by using their 2D features in the image, we have been able to develop a method that uses 3D

Edge-based interpolation for joints By transforming joints into an edge-based rotation-invariant representation, A is very easy to compute on each joint shape

We contribute a 3D brushing interface for data visualization that combines the following techniques: (1) using force feedback defined by features in the underlying dataset to guide

In order to maintain the paper self-contained, we begin our description with a brief introduction to the Harris 3D method, and then we will describe how the keypoints are used to

Proposed algorithm employs Bag-of-Features (BoF) integration of a set of simple, 3D, local, geometrical features, so a 3D mod- el is described by an integrated feature vector per

After calculating the charge density for each triangular face of each model as local features, we utilize the Bag-of-Features framework to perform global matching using the

For the classification process local geometric properties (features) of the point cloud are computed based on point relations, normals, and principal curvatures1. For the training

Based on the analyses in [LGX13], existing non-rigid 3D shape retrieval methods can be roughly classified into al- gorithms employing local features, topological