计算机科学 ›› 2020, Vol. 47 ›› Issue (11A): 175-177.doi: 10.11896/jsjkx.200400096
陈颖, 赵来旺, 詹洪陈, 丁尧
CHEN Ying, ZHAO Lai-wang, ZHAN Hong-chen, DING Yao
摘要: 在早期三维场景重建中,受硬件条件的限制,无法很好地对场景进行三维重建。随着硬件的更新迭代,目前可利用结构光和双视系统进行更加高效的三维场景重建。以ZED双目相机和捷宝AD-10电动云台构建硬件平台,通过双目相机获得场景的点云信息,基于全局SBGM(Semi-Global Block Matching)算法的立体匹配和RGB-D图(Red Green Blue Depth Map)的生成来进行单一场景点云重建,并通过ORB特征匹配和ICP(Iterative Closest Point)点云配准融合,实现对室内场景的全景三维重建。实验对比了双目立体视觉的场景重建在过远/过近目标、低纹理特征目标、玻璃等材质目标上的优势,同时在点云的三维场景重建中,提出通过稀疏化来优化点云信息,对比单一采集与多次采集的重建效果。经过实验,该系统在折中采用次数的前提下,可以兼顾场景重建细节与显示效果,并对不同场景目标的三维重建具有实际的工程借鉴意义和应用价值。
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