Automatic mosaicing is an important image processing application and we propose several improvements and simplifications to the image registration pipeline used in microscopy to automatically construct large images of whole specimen samples from a ...

Specific to the problem of feature description for colour image, a novel speeded-up robust features SURF descriptor of colour image-based quaternion CSURF-Q is proposed in this paper. Firstly, in order to represent the colour information of colour image ...

This paper describes an effective tool to automate the process of trademark similarity checking at the time of registration. A combination of shape and colour feature has been illustrated here so that images taken from different vantage points or levels ...

To prevent digital image from unauthorized use, image copy detection is an important technique in the field of copyright protection. The conventional methods of image copy detection concentrate on extracting global or local signatures to resist various ...

In this paper, we propose a blind robust image watermarking algorithm based on a state code using local invariant areas. Integer Wavelet Transform (IWT) is used to embed watermark into local areas around interest points detected by SURF decoder, that ...

In this article, a method of merging point clouds using the modified Harris corner detection algorithm for extracting interest points of textured 3D point clouds is proposed. A new descriptor characterizing point features for identifying corresponding ...

This dissertation research will explore region-based and interest points based image representations, two of the most-used image models for object detection, image classification, and visual search among other applications. We will analyze the ...

In this paper, we propose an original representation model for handwriting document images. Most state-of-the-art handwriting representation models only use separately textural properties, selective dominant features (such as stroke orientation or ...

Action recognition in unconstrained situations is a difficult task, suffering from massive intra-class variations. It is made even more challenging when complex 3D actions are projected down to the image plane, losing a great deal of information. The ...

Practical use of SURF feature points in large-scale indexing and retrieval engines requires an efficient means for storing and decoding these features. This paper investigates several methods for compression and storage of SURF feature points, ...

The present work introduces a 2D medical image retrieval system which employs interest points derived from superpixels in a bags of visual words (BVW) framework. BVWs rely on stable interest points so that the local descriptors can be clustered into ...

In this paper we propose a novel method to retrieval scene images, where packed dense interest points are extracted as visual signature and asymmetric piece-to-image matching scheme is adopted for similarity matching. Compared to general images, scene ...

Constructing proper descriptors for interest points is a critical aspect for local features related tasks in some computer vision and pattern recognition. This paper proposed to improve the SIFT descriptor by means of combining the second derivative and ...

In this paper, an approach for human action recognition is presented based on adaptive bag-of-words features. Bag-of-words techniques employ a codebook to describe a human action. For successful recognition, most action recognition systems currently ...

TOP-SURF is an image descriptor that combines interest points with visual words, resulting in a high performance yet compact descriptor that is designed with a wide range of content-based image retrieval applications in mind. TOP-SURF offers the ...

This paper examined a number of problems with the derivation of the approximation of the model-IR, including an algebraic error, some inconsistent or untenable assumptions, and an unsupported approximation. These problems make it difficult to judge the ...

This paper presents an approach to the object reidentification problem in a camera network system. The reidentification or reacquisition problem consists essentially on the matching process of images acquired from different cameras. This work is applied ...

A comparison and a performance evaluation of 3D interest point detectors based on the structure tensor matrix under a medical image registration context is presented. The study regards the distinctiveness and the repeatability rate exhibited by the ...

The imbalance oriented selection scheme was recently introduced to detect stable interest points in weakly or sparsely textured images. The scheme chooses image points whose one-pixel-wide directional intensity variations can be clustered into two ...