Application of Affine-Invariant Fourier Descriptors to Recognition of 3-D Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive 3-D Object Recognition from Multiple Views
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelet-Based Affine Invariant Representation: A Tool for Recognizing Planar Objects in 3D Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multidimensional Indexing for Recognizing Visual Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Affine Invariant Features from the Trace Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching and normalization of affine deformed image from regular moments
Pattern Recognition Letters
Affine Invariant Pattern Recognition Using Multiscale Autoconvolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
Affine Parameter Estimation from the Trace Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Electronic clipping system with invisible barcodes
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Graphic Symbol Recognition of Engineering Drawings Based on Multi-Scale Autoconvolution Transform
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A Method for Blur and Affine Invariant Object Recognition Using Phase-Only Bispectrum
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Nonlinear functionals in the construction of multiscale affine invariants
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
A new efficient method for producing global affine invariants
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
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This paper describes an efficient approach to pose invariant pictorial object recognition employing spectral signatures of image patches that correspond to object surfaces which are roughly planar. Based on Singular Value Decomposition (SVD), the affine transform is decomposed into slant, tilt, swing, scale, and 2D translation. Unlike previous log-polar representations which were not invariant to slant (i.e., foreshortening only in one direction), our log-log sampling configuration in the frequency domain yields complete affine invariance. The images are preprocessed by a novel model-based segmentation scheme that detects and segments objects that are affine-similar to members of a model set of basic geometric shapes. The segmented objects are then recognized by their signatures using multidimensional indexing in a pictorial dataset represented in the frequency domain. Experimental results with a dataset of 26 models show 100 percent recognition rates in a wide range of 3D pose parameters and imaging degradations: 0-360° swing and tilt, 0-82° of slant (more than 1:7 foreshortening), more than three octaves in scale change, window-limited translation, high noise levels (0 dB), and significantly reduced resolution (1:5).