Model-based reconstruction of featureless objects for automated storage and transportation systems

Yung Nien Sun, Chia Hsiang Wu, Zong Sheng Chen, Song Jau Tsai

Research output: Contribution to journalArticlepeer-review


Three-dimensional (3D) reconstruction from images usually relies on matched point correspondences across images, and the number of detected feature points should be as great as possible to fully describe the object geometry. Featureless objects, such as heaps of raw ore that are of similar color and present very few feature points, however, can usually be seen in many industrial applications, and their 3D reconstruction is essential to developing automated storage and transportation systems. Therefore, we propose a model-based method that utilizes a generic model with an additional reference point to estimate the 3D structure of a featureless object which is the ore pile in our cases. The size, position, and orientation of the estimated object are then optimized, followed by redundant area removal to fit the finer details. We also extend the method to the reconstruction of multiple objects. Experimental results show that the method successfully reconstructs featureless objects having similar colors and textures.

Original languageEnglish
Pages (from-to)149-159
Number of pages11
JournalJournal of Intelligent Manufacturing
Issue number2
Publication statusPublished - 2008 Apr

All Science Journal Classification (ASJC) codes

  • Software
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence


Dive into the research topics of 'Model-based reconstruction of featureless objects for automated storage and transportation systems'. Together they form a unique fingerprint.

Cite this