A Novel Peak Detection Method of Structured Light Stripes for 3D Reconstruction
We present a novel stripe peak detection method for structured light based 3D reconstruction. With such approach, we achieve accurate peak location even for weak stripes. The process consists of two steps. In first step, an algorithm named Local Trend Measurement is proposed to segment stripe areas. Instead of detecting peaks by amplitude and width, we detect stripe peak by its illuminance rising edge and falling edge, which are derived by Local Trend Measurement. Pixels between the edges are labeled as stripe area. In second step, a modified weighted average method is applied to determine accurate peak position in stripe area. Experimental results demonstrate that our method is effective in both stripe segmentation and peak position derivation.
Stripe segmentation peak detection 3D Reconstruction structured hght
Dongwei Zhao Yu Zhou Yao Yu Sidan Du
Nanjing University School of Electronic Science and Engineering Hankou Road .Nanjing JiangSu Province, China, 210093
国际会议
杭州
英文
278-281
2011-08-26（万方平台首次上网日期，不代表论文的发表时间）