Kinect-based easy 3D object reconstruction

Di Xu, Jianfei Cai, Tat Jen Cham, Philip Fu, Juyong Zhang

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)


Inspired by the recently developed KinectFusion technique, which is able to reconstruct a 3D scene in real time through moving Kinect, we consider improving KinectFusion for 3D reconstruction of a real object. We make some adaptations to KinectFusion so as to identify the object-of-interest and separate the 3D object model from the entire 3D scene. Moreover, considering that the 3D object model generated by KinectFusion often contains some clearly visible outliers due to the noisy Kinect data, we propose a refinement scheme to remove the outliers. Our basic idea is to make use of the existing powerful 2D segmentation tool to refine the silhouette in each color image and then form visual hull via the refined dense silhouettes to improve the 3D object model. Experimental results show improved performance.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing, PCM 2012 - 13th Pacific-Rim Conference on Multimedia, Proceedings
Number of pages8
ISBN (Print)9783642347771
Publication statusPublished - 2012
Externally publishedYes
Event13th Pacific-Rim Conference on Multimedia, PCM 2012 - Singapore, Singapore
Duration: 4 Dec 20126 Dec 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7674 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference13th Pacific-Rim Conference on Multimedia, PCM 2012


  • 2D segmentation
  • 3D reconstruction
  • Kinect
  • visual hull

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