To speed up the process, we implement the method on modern GPU in parallel. Computations are distributed evenly to threads with load balancing, and the memory ...
Spatial matching for object retrieval is often time- consuming and susceptible to viewpoint changes. To address this problem, we propose a novel spatial ...
Parallel spatial matching for object retrieval implemented on GPU ...
www.semanticscholar.org › paper
Experimental results demonstrate that the proposed novel spatial matching method is more robust and more efficient than previous methods especially when the ...
In this paper, we present a novel D model alignment method by analyzing the voxels of 3D meshes and a visual similarity based D model matching and ...
The proposed method achieves high speed by efficiently utilizing the parallelism of the GPU throughout the whole process and by reducing the transfer latency ...
In this paper, we present a novel 3D model alignment method by analyzing the voxels of 3D meshes and a visual similarity based 3D model matching and ...
Oct 24, 2019 · 6.2 Case Study II: Spatial Join. G-PICS can be extended to support other spatial data retrieval algorithms and applica- tions. For example ...
A GPU Based 3D Object Retrieval Approach Using Spatial Shape ...
dl.acm.org › doi › abs › ISM.2010.38
Dec 13, 2010 · In this paper, we present a novel 3D model alignment method by analyzing the voxels of 3D meshes and a visual similarity based 3D model ...
Our space-optimized implementation of PSH performs retrievals on the GPU, but builds on the CPU. Binary search is used to find the optimal size of the offset ...
In IPDPS. Wang, W. et al. (2011). Robust spatial matching for object retrieval and its parallel implementation on gpu. IEEE Transactions on Multimedia, 13(6) ...