Contour Retrieval and Matching by Affine Invariant Fourier Descriptors
نویسندگان
چکیده
In the image plane, a 3 Dimensional movement of planar rigid object can be represented satisfactory by an affine motion of his boundary (the exterior contour) which we assume to be closed. The object movement can be described by a special affine transformation of the plane IR 2 . The extraction of invariant features under affinities is important in such procedure. Recently we have proposed a new shape representation invariant to affine transformation based on Fourier descriptors [3]. The performances of the new family was analysed with experiments on the numerical invariance, the robustness of the shape features and the invariance to parameterization [3][4]. In this paper, we present two applications of the affine descriptors for contour-based retrieval and curve matching. Experimental results on a curve database subject to perspective distortions show that these features are very robust against such distortions. A comparative study with other affine invariant descriptors will be presented in the context of contour retrieval.
منابع مشابه
Correlating Fourier descriptors of local patches for road sign recognition
The Fourier descriptors (FDs) is a classical but still popular method for contour matching. The key idea is to apply the Fourier transform to a periodic representation of the contour, which results in a shape descriptor in the frequency domain. Fourier descriptors are most commonly used to compare object silhouettes and object contours; we instead use this well established machinery to describe...
متن کاملبازیابی مبتنی بر شکل اجسام با توصیفگرهای بدست آمده از فرآیند رشد کانتوری
In this paper, a novel shape descriptor for shape-based object retrieval is proposed. A growing process is introduced in which a contour is reconstructed from the bounding circle of the shape. In this growing process, circle points move toward the shape in normal direction until they get to the shape contour. Three different shape descriptors are extracted from this process: the first descript...
متن کاملA New Multi-resolution Affine Invariant Planar Contour Descriptor
In this paper, a novel affine invariant shape descriptor for planar contours is proposed. It is based on a multi-resolution representation of the contour. For each contour resolution, a shape signature is defined from the contour points and the initial contour centroid and points. Finally, Fourier descriptors are computed for each signature. The proposed descriptor is invariant to affine transf...
متن کاملAffine Invariant Contour Descriptors Using Independent Component Analysis and Dyadic Wavelet Transform
The paper presents a novel technique for affine invariant feature extraction with the view of object recognition based on parameterized contour. The proposed technique first normalizes an input image by removing the affine deformations using independent component analysis which also reduces the noise introduced during contour parameterization. Then four invariant functionals are constructed usi...
متن کاملLip-reading from parametric lip contours for audio- visual speech recognition
This paper describes the incorporation of a visual lip tracking and lip-reading algorithm that utilizes the affine-invariant Fourier descriptors from parametric lip contours to improve the audio-visual speech recognition systems. The audio-visual speech recognition system presented here uses parallel hidden Markov models (HMMs), where a joint decision, using an optimal decision rule, is made af...
متن کامل