본문 바로가기
  • Home

Comparative Analysis of Depth Sampling Strategies on Coordinate Transformation Consistency in a ROS-Based RGB-D Pipeline

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2026, 31(4), pp.23~31
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 26, 2026
  • Accepted : April 15, 2026
  • Published : April 30, 2026

Kwang-Ho Yang 1 Hyeon-O Choe 1

1국립순천대학교

Accredited

ABSTRACT

This paper comparatively analyzes depth sampling strategies and their effect on coordinate transformation consistency in a ROS-based RGB-D perception pipeline. The proposed pipeline consists of RGB-based ROI detection, window-based depth sampling for 3D position estimation, ROS TF coordinate transformation, and TCP-based control command delivery. Three sampling strategies (1×1 single-pixel, 3×3 and 5×5 window median) were evaluated across nine experimental conditions, including three camera-to-object distances (30, 40, 50 cm) and three lighting levels (bright, normal, dim), totaling 270 repeated trials. The 3×3 window median improved consistency by 5.7 times over single-pixel sampling, and 5×5 by 8.1 times (Kruskal-Wallis H=71.59, p<0.001). All conditions maintained deviations below 1.3 mm, confirming that depth sampling strategy is a critical design parameter for coordinate transformation reliability.

Citation status

* References for papers published after 2024 are currently being built.