Hybrid-structure based multi-view 3D scene reconstruction
Achieving accurate and efficient 3D reconstruction through PatchMatch-based multi-view stereo(MVS)algorithms remains a challenging task.The red-black checkerboard propagation method offers high computational efficiency,yet its corresponding view selection strategy lacks accuracy.The view selection strategy based on Markov chain can obtain more accurate matching results,but lacks parallelism.To balance reconstruction quality and runtime,a hybrid-structure based multi-view 3D scene reconstruction algorithm was proposed.In the first stage,the algorithm employed a parallel row/col propagation strategy and a Markov chain-based view selection strategy to produce high-quality initial depth maps.Meanwhile,multi-level processing was utilized to improve the reconstruction quality of weak texture regions.In the second stage,checkerboard propagation and a voting-based view selection strategy were used to increase computational efficiency and reduce reconstruction time.Extensive experiments and comparisons on the Strecha and ETH3D datasets demonstrated that the proposed algorithm can generate results 2.5 times faster without accuracy reduction.
3D reconstructionmulti-view stereo matchingview selectionpropagation strategymulti-level processing
NETL
NSTL
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