Object Detection Scheme Using Cross Correlation and Affine Transformation Techniques
نویسندگان
چکیده
In object recognition, there are several situations which may cause object image detection failure including that the object zooming in, zooming out, rotated, mirror, or something deformation and the object sizes become irregular. In this paper, an object normalization technique used to make the object into standard, an affine transform technique make the same object to meet any irregular shape, and a cross-correlation technique used to judge which object is most resemble. After over 200 test images that include different shapes, styles, size and colors used in simulations, this scheme is proven to achieve 100% object image detection.
منابع مشابه
Efficient Object Detection Robust to RST with Minimal Set of Examples
In this paper, we present an object detection approach based on a similarity measure combining crosscorrelation and affine deformation. Current object detection systems provide good results, at the expense of requiring a large training database. The use of correlation anables object detection with very small training set but is not robust to the luminosity change and RST (Rotation, Scale, trans...
متن کاملMatching Approach Based on Cross-Correlation and Affine Transformation
A method for image matching based on feature point is proposed on the case of unknown epipolar geometry and unavailable epipolar constraint in a single scene. Firstly, corners of the image as feature points are detected by Harris corner detector, which can participate in the image matching, and using the normalized grayscale cross-correlation coefficient establishes the initial matching of feat...
متن کاملFast Fourier Transform Technique and Affine Transform Estimation-Based High Precision Image Registration Method
New techniques are developed for determining spatial or geometric distortion between two images of the same scene. First, the properties of the Fourier transform of a two dimensional function under the affine transformation are given. The relations between the spatial and spectral frequency domains are shown. As a result, techniques for the estimation of the coefficients of the distortion model...
متن کاملAffine-Invariant Recognition of Gray-Scale Characters Using Global Affine Transformation Correlation
ÐThis paper describes a new, promising technique of gray-scale character recognition that offers both noise tolerance and affine-invariance. The key ideas are twofold. First is the use of normalized cross-correlation as a matching measure to realize noise tolerance. Second is the application of global affine transformation (GAT) to the input image so as to achieve affine-invariant correlation w...
متن کاملOrr Sommerfeld Solver Using Mapped Finite Di?erence Scheme for Plane Wake Flow
Linear stability analysis of the three dimensional plane wake flow is performed using a mapped finite di?erence scheme in a domain which is doubly infinite in the cross–stream direction of wake flow. The physical domain in cross–stream direction is mapped to the computational domain using a cotangent mapping of the form y = ?cot(??). The Squire transformation [2], proposed by Squire, is also us...
متن کامل