On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition by Linear Combinations of Models
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature extraction from faces using deformable templates
International Journal of Computer Vision
Dynamic aspects in active vision
CVGIP: Image Understanding - Special issue on purposive, qualitative, active vision
Space variant image processing
International Journal of Computer Vision
Object Matching Using Deformable Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear Object Classes and Image Synthesis From a Single Example Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
The lifting scheme: a construction of second generation wavelets
SIAM Journal on Mathematical Analysis
Geometric Hashing: An Overview
IEEE Computational Science & Engineering
Rotation-invariant pattern matching using wavelet decomposition
Pattern Recognition Letters
Finding faces in cluttered scenes using random labeled graph matching
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Model-Based Matching by Linear Combinations of Prototypes
Model-Based Matching by Linear Combinations of Prototypes
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Object Detection Based on Weighted Adaptive Prediction in Lifting Scheme Transform
ISM '06 Proceedings of the Eighth IEEE International Symposium on Multimedia
A Modified Generalized Hough Transform for Image Search
IEICE - Transactions on Information and Systems
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Robust Real-Time Pattern Matching Using Bayesian Sequential Hypothesis Testing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Grayscale template-matching invariant to rotation, scale, translation, brightness and contrast
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Graph matching – challenges and potential solutions
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Adaptive lifting schemes with perfect reconstruction
IEEE Transactions on Signal Processing
Translation, rotation, and scale-invariant object recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Adaptive polyphase subband decomposition structures for image compression
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Nonlinear wavelet transforms for image coding via lifting
IEEE Transactions on Image Processing
Rotation Moment Invariants for Recognition of Symmetric Objects
IEEE Transactions on Image Processing
A quantitative comparison of speed and reliability for log-polar mapping techniques
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Distortion estimates for adaptive lifting transforms with noise
Image and Vision Computing
Pattern Recognition Letters
On-line fast palmprint identification based on adaptive lifting wavelet scheme
Knowledge-Based Systems
Hi-index | 0.01 |
This paper presents a novel algorithm for detecting user-selected objects in given test images based on a new adaptive lifting scheme transform. Given an object as a template, we first select a set of coefficients as object features in the wavelet transform domain and then build an adaptive transform based on the selected features. The goal of the new adaptive transform is to vanish the selected features in the transform domain. After applying both non-adaptive and adaptive transforms to a given test image, the corresponding transform domain coefficients are compared for detecting the object of interest. In addition, the proposed detection algorithm is combined with the proper log-polar mapping model in the parametric template space to attain rotation/scale invariance property. Finally, we have verified the properties of our proposed algorithm with experimental results.