A Novel Fast and Robust Binary Affine Invariant Descriptor for Image Matching
نویسندگان
چکیده
منابع مشابه
A Novel Binary Feature Descriptor for Accelerated Robust Matching
Stereo matching between images is at the base of many computer vision applications. Many traditional image features for matching focus on being robust to view-point changes with huge amount of calculation and memory storage, such as Scale Invariant Feature Transform (SIFT). Binary Robust Independent Elementary Features (BRIEF) is an efficient alternative to traditional SIFT-like features, but i...
متن کاملFast Robust Template Matching for Affine Resistant Image Watermarks
Digital watermarks have been proposed as a method for discouraging illicit copying and distribution of copyrighted material. This paper describes a method for the secure and robust copyright protection of digital images. We present an approach for embedding a digital watermark into an image using the Fourier transform. To this watermark is added a template in the Fourier transform domain to ren...
متن کاملVariation of SIFT Descriptor for Affine Invariant Object Matching
In this paper, a novel affine invariant descriptor for object matching is proposed. The advantage of Maximally Stable Extremal Regions (MSER) method is applied to get the most stable regions in the image. Inside each region, we pick the seeds as keypoints since MSER regions are invariant to affine transformation. Besides that, Voronoi diagram is employed to split the image into small Voronoi ce...
متن کاملRobust Edge Aware Descriptor for Image Matching
This paper presents a method called Robust Edge Aware Descriptor (READ) to compute local gradient information. The proposed method measures the similarity of the underlying structure to an edge using the 1D Fourier transform on a set of points located on a circle around a pixel. It is shown that the magnitude and the phase of READ can well represent the magnitude and orientation of the local gr...
متن کاملNew Robust Descriptor for Image Matching
Nowadays, object recognition based on feature extraction is widely used in image matching due to its robustness to different types of image transformations. This paper introduces a new approach for extracting invariant features from interest regions. This approach is inspired from the well known Scale Invariant Feature Transform (SIFT) interest points detector and aims to improve the computatio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2014
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2014/129230