Efficient computation of channel-coded feature maps through piecewise polynomials

Image and Vision Computing

Volumn 27, Issue 11, 2009, Pages 1688-1694

  Jonsson, Erik ^a   Felsberg, Michael ^a  

^a Department of Electrical Engineering   (Sweden)

Author keywords

Channel coded feature maps; Feature histograms; Piecewise polynomials; Soft histograms; Splines

Indexed keywords

BINS; ENCODING (SYMBOLS); IMAGE CODING; POLYNOMIALS;

B SPLINES; CHANNEL-CODED FEATURE MAPS; COARSE-TO-FINE; DATA SETS; DESCRIPTORS; DIRECT ENCODING; EFFICIENT COMPUTATION; FEATURE HISTOGRAMS; FEATURE MAP; IMAGE FEATURES; IMAGE SCALE; IMAGE TRANSFORMATIONS; LARGE IMAGES; LOCAL OPTIMIZATIONS; MULTI-DIMENSIONAL HISTOGRAMS; PIECE-WISE; PIECEWISE POLYNOMIALS; SOFT HISTOGRAMS;

SPLINES;

EID: 68649091705     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2008.11.002     Document Type: Article

References (12)

1. Belongie S., Malik J., and Puzicha J. Shape matching and object recognition using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence 24 24 (2002) 509-522
2. Comaniciu D., Ramesh V., and Meer P. Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 25 5 (2003) 564-577
3. Michael F., and Johan H. Real-time view-based pose recognition and interpolation for tracking initialization. Journal of Real-Time Image Processing 2 2-3 (2007) 103-116
4. Michael Felsberg, Gösta Granlund, P-channels: robust multivariate m-estimation of large datasets, in: International Conference on Pattern Recognition, Hong Kong, August 2006.
5. Gösta H. Granlund, An associative perception-action structure using a localized space variant information representation, in: Proc. of Algebraic Frames for the Perception-Action Cycle (AFPAC), Kiel, Germany, September 2000.
6. Erik Jonsson, Michael Felsberg, Accurate interpolataion in appearance-based pose estimation, in: Proc. of the 15th Scandinavian Conference on Image Analysis, 2007.
7. David G. Lowe, Object recognition from local scale-invariant features, in: IEEE Int. Conf. on Computer Vision, Sept 1999.
8. Stephen Se, David Lowe, Jim Little, Vision-based mobile robot localization and mapping using scale-invariant features, in: Proc. of the Int. Conf. on Robotics and Automation, 2001.
9. Jianbo Shi, Carlo Tomasi, Good features to track, in: Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR94), June 1994.
10. Unser M. Splines: a perfect fit for signal and image processing. IEEE Signal Processing Magazine 16 6 (1999) 22-38
11. Paul Viola, Michael Jones, Rapid object detection using a boosted cascade of simple features, in: Proc. of the Int. Conf. on Computer Vision and Pattern Recognition, 2001.
12. Changjiang Yang, Ramani Duraiswami, Larry Davis, Fast multiple object tracking via a hierarchical particle filter, in: Proc. of the Int. Conf. on Computer Vision, vol. 1, October 2005, pp. 212-219.