Object distance estimation based on stereo vision and color segmentation with region matching

Authors:
Guangming Xiong;Xin Li;Junqiang Xi;Spencer G. Fowers;Huiyan Chen
Affiliations:
School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China;School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China;School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China;Dept. of Electrical and Computer Engineering, Brigham Young University, Provo, Utah;School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China
Venue:
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Year:
2010

Citing 16
Cited 0

A new region matching method for stereoscopic images

Pattern Recognition Letters
Unsupervised Segmentation of Color-Texture Regions in Images and Video

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Approximate Energy Minimization via Graph Cuts

IEEE Transactions on Pattern Analysis and Machine Intelligence
Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation

International Journal of Computer Vision
Stereo Matching Using Belief Propagation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual methods for three-dimensional modeling

Visual methods for three-dimensional modeling
Image Processing - Principles and Applications

Image Processing - Principles and Applications
Obstacle Detection with Stereo Vision for Off-Road Vehicle Navigation

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Graph-cut-based stereo matching using image segmentation with symmetrical treatment of occlusions

Image Communication
A new regions matching for color stereo images

Pattern Recognition Letters
Natural Image Segmentation Using the CIELab Space

CONIELECOMP '09 Proceedings of the 2009 International Conference on Electrical, Communications, and Computers
A Simple Obstacle Detection Approach Based on Stereo Vison in ALV System

CASE '09 Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)
Automatic seeded region growing for color image segmentation

Image and Vision Computing
Detection of non-flat ground surfaces using V-disparity images

IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Perceptually uniform color spaces for color texture analysis: an empirical evaluation

IEEE Transactions on Image Processing
Automatic image segmentation by integrating color-edge extraction and seeded region growing

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Human vision system relies on stereovision to determine object distance in the 3-D world. Human vision system achieves this by first locating the objects, then matching the corresponding objects seen by the left and right eyes, and finally using triangulation to estimate the object distance. Inspired by the same concept, this paper presents a depth estimation method based on stereo vision and color segmentation with region matching in CIE Lab color space. Firstly, an automatic seeded region growing approach for color segmentation in perceptually uniform color space was proposed. Then color region matching method was implemented after color segmentation. Thereafter, 3D reprojection method was employed to calculate depth distances. Experimental results are included to validate the proposed concept for object distance estimation.