Image matching has been a central problem in computer vision and image processing for decades. Most of the previous approaches to image matching can be categorized into the intens...
Chyuan-Huei Thomas Yang, Shang-Hong Lai, Long-Wen ...
Image matching is a stage one performs as soon as one has two images of the same scene, taken from two different points of view. Matching these images is to find the mathematical ...
A method for image matching from partial blurry images is presented that leverages existing text retrieval algorithms to provide a solution that scales to hundreds of thousands of...
Abstract. We propose new ideas and efficient algorithms towards bridging the gap between bag-of-features and constellation descriptors for image matching. Specifically, we show ho...
For the CLEF 2004 ImageCLEF St Andrew’s Collection task the Dublin City University group carried out three sets of experiments. We carried out standard cross-language informatio...
Gareth J. F. Jones, Declan Groves, Anna Khasin, Ad...
This paper proposes employing a graph-theoretic approach to estimate the region correspondence between two images. We represent each image as an attributed undirected graph and tr...
— Image matching is a fundamental task of many computer vision problems. In this paper we present a novel approach to match two images in presenting significant geometric deform...
Image matching is a fundamental task for many applications of computer vision. Today it is very popular to represent two matched images as two bags of local descriptors, and the c...
Image matching is a fundamental task of many problems in computer vision. This paper presents a novel local feature descriptor based on the gradient distance and orientation histo...