We propose a new method for rapid 3D object indexing that combines feature-based methods with coarse alignment-based matching techniques.

A new method for rapid 3D object indexing that combines feature-based methods with coarse alignment-based matching techniques is proposed, ...

We propose a new method for rapid 3D object indexing that combines feature-based methods with coarse alignment-based matching techniques.

We propose a new method for rapid 3D object indexing that combines feature-based methods with coarse alignment-based matching techniques.

Rapid object indexing using locality sensitive hashing and joint. 3D-signature space estimation. IEEE Transactions on Pattern Analysis and. Machine ...

Sep 25, 2024 · The proposed 2L-LSH offers a highly efficient and accurate solution for fast neighboring points search in large-scale 3D point cloud models.

In recent years, Locality sensitive hashing (LSH) has been popularly used as an effective and efficient index structure of multimedia signals.

This paper proposes a joint feature-based model indexing and geometric constraint based alignment pipeline for efficient and accurate recognition of 3D objects ...

The basic idea of LSH is to use a set of hash functions that map similar objects into the same hash bucket with a probability higher than non-similar objects.

Rapid object indexing using locality sensitive hashing and joint 3D-signature space estimation · B. MateiYing Shan +4 authors. M. Hebert. Computer Science ...