Enhanced 3D tree model simplification and perceptual analysis

Authors:
Jessy Lee;May-chen Kuo;C.-C. Jay Kuo
Affiliations:
Ming-Hsieh Department of Electrical Engineering and Signal and Image Processing Institute, University of Southern California, Los Angeles, CA;Ming-Hsieh Department of Electrical Engineering and Signal and Image Processing Institute, University of Southern California, Los Angeles, CA;Ming-Hsieh Department of Electrical Engineering and Signal and Image Processing Institute, University of Southern California, Los Angeles, CA
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

Citing 6
Cited 1

Unsupervised texture segmentation using Gabor filters

Pattern Recognition
Subjective quality assessment of compressed images

Signal Processing
Interactive visualization of complex plant ecosystems

Proceedings of the conference on Visualization '02
Image retrieval and perceptual similarity

ACM Transactions on Applied Perception (TAP)
Perception of complex aggregates

ACM SIGGRAPH 2008 papers
Fast and Flexible Tree Rendering with Enhanced Visibility Estimation

ISM '08 Proceedings of the 2008 Tenth IEEE International Symposium on Multimedia

Real-time recombination method of complex 3d tree model information on visual perception preserving

CVM'12 Proceedings of the First international conference on Computational Visual Media

Quantified Score

Hi-index	0.00

Visualization

Abstract

The effectiveness of 3D tree model simplification techniques and their objective and subjective performance evaluations are examined in this work. The simplification techniques developed in [1, 2] were based on pixel-based metrics, which did not consider the tree model's leaf density. For performance improvement, we perform simplification based on the tree leaf density of rendered images viewed from multiple angles. Furthermore, objective performance analysis is conducted to evaluate how well different algorithms are able to simplify tree models that appear as close to the original tree model with a given budget on the number of tree leaves in the model. To this end, a performance metric based on the Gabor filter is developed to analyze the orientation and spatial relationship within the rendered tree models. Finally, subjective evaluation is conducted by a group of 23 people. Both the objective and the subject evaluations reach a consistent conclusion; namely, the newly proposed density-based simplification technique offers the best results.