论文标题
从多个对象场景中，轮廓优化在3D形状重建系统中的重要性
The importance of silhouette optimization in 3D shape reconstruction system from multiple object scenes
论文作者
论文摘要
本文通过考虑形状与式轮廓SFS方法中的轮廓不一致，提出了多个对象场景的多阶段3D形状重建系统。这些不一致在多个视图图像中很常见，这是由于对象，分段，阴影或由于对象或光方向引起的反射中的对象遮挡。这些因素在尝试通过使用现有的方法来构建3D形状的挑战，这些方法仅重建仅在所有轮廓中始终如一地投影的部分，而其余的则未结构。结果，由于多视图对象的遮挡和阴影，最终形状并不强大。在这方面，我们考虑通过分析多个图像并执行预处理步骤来优化轮廓来影响重建的主要因素。最后，使用体积方法SFS重建3D形状。理论和实验结果表明，修改后的算法的性能得到了有效的改进，这可以提高重建形状的准确性，并对轮廓，体积和计算廉价的误差进行鲁棒性。
This paper presents a multi stage 3D shape reconstruction system of multiple object scenes by considering the silhouette inconsistencies in shape-from silhouette SFS method. These inconsistencies are common in multiple view images due to object occlusions in different views, segmentation and shadows or reflection due to objects or light directions. These factors raise huge challenges when attempting to construct the 3D shape by using existing approaches which reconstruct only that part of the volume which projects consistently in all the silhouettes, leaving the rest unreconstructed. As a result, final shape are not robust due to multi view objects occlusion and shadows. In this regard, we consider the primary factors affecting reconstruction by analyzing the multiple images and perform pre-processing steps to optimize the silhouettes. Finally, the 3D shape is reconstructed by using the volumetric approach SFS. Theory and experimental results show that, the performance of the modified algorithm was efficiently improved, which can improve the accuracy of the reconstructed shape and being robust to errors in the silhouettes, volume and computational inexpensive.
