Evaluation of features detectors and descriptors based on 3D objects
- 1 January 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1 (15505499) , 800-807 Vol. 1
- https://doi.org/10.1109/iccv.2005.89
Abstract
We explore the performance of a number of popular feature detectors and descriptors in matching 3D object features across viewpoints and lighting conditions. To this end we design a method, based on intersecting epipolar constraints, for providing ground truth correspondence automatically. We collect a database of 100 objects viewed from 144 calibrated viewpoints under three different lighting conditions. We find that the combination of Hessian-affine feature finder and SIFT features is most robust to viewpoint change. Harris-affine combined with SIFT and Hessian-affine combined with shape context descriptors were best respectively for lighting changes and scale changes. We also find that no detector-descriptor combination performs well with viewpoint changes of more than 25-30/spl deg/.Keywords
This publication has 14 references indexed in Scilit:
- A Comparison of Affine Region DetectorsInternational Journal of Computer Vision, 2005
- A performance evaluation of local descriptorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Flexible spatial models for grouping local image featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Robust wide-baseline stereo from maximally stable extremal regionsImage and Vision Computing, 2004
- Shape matching and object recognition using shape contextsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual LandmarksThe International Journal of Robotics Research, 2002
- Evaluation of Interest Point DetectorsInternational Journal of Computer Vision, 2000
- Wide Baseline Stereo Matching based on Local, Affinely Invariant RegionsPublished by British Machine Vision Association and Society for Pattern Recognition ,2000
- The design and use of steerable filtersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- A Representation for Shape Based on Peaks and Ridges in the Difference of Low-Pass TransformPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984