Image matching and the epipolar geometry for a stereo pair has been a well-studied topic in the eld of computer vision. There is a strong foundation for matching techniques between two planar images, and the case of two spherical panoramas has been more recently explored. This work establishes the geometry for a pair consisting of one planar image and one spherical panorama, while exploring mat...

We present a scheme for measuring completeness of local feature extraction in terms of image coding. Completeness is here considered as good coverage of relevant image information by the features. As each feature requires a certain number of bits which are representative for a certain subregion of the image, we interpret the coverage as a sparse coding scheme. The measure is therefore based on ...

One fundamental problem in mobile robotics research is Simultaneous Localization and Mapping (SLAM): A mobile robot has to localize itself in an unknown environment, and at the same time generate a map of the surrounding area. One fundamental part of SLAM algorithms is loop closing: The robot detects whether it has reached an area that has been visited before, and uses this information to impro...

Bertambahnya jumlah mahasiswa Universitas xyz Yogyakarta pada setiap tahun diimbangi dengan kendaraan yang digunakan, perlu diperhatikan untuk mengembangkan kecerdasan efisien dan juga sistem transportasi aman. Beberapa penelitian metode pengenalan plat telah menunjukkan kinerja menjanjikan, namun beberapa mungkin terdapat kelemahan situasi variasi posisi orientasi plat, pencahyaan, latar belak...

Design of a new intelligent driver assistance system based on traffic sign detection with Persian context is concerned in this paper. The primary aim of this system is to increase the precision of drivers in choosing their path with regard to traffic signs. To achieve this goal, a new framework that implements fuzzy logic was used to detect traffic signs in videos captured along a highway f...

The entries of high-dimensional measurements, such as image or feature descriptors, are often correlated, which leads to a bias in similarity estimation. To remove the correlation, a linear transformation, called whitening, is commonly used. In this work, we analyze robust estimation of the whitening transformation in the presence of outliers. Inspired by the Iteratively Re-weighted Least Squar...

Text detection and recognition in poor quality video is a challenging problem due to unpredictable blur and distortion effects caused by camera and text movements. This affects the overall performance of the text detection and recognition methods. This paper presents a combined quality metric for estimating the degree of blur in the video/image. Then the proposed method introduces a blind decon...

In order to achieve a complete image description, we introduce no-feature-features (NF-features) representing object regions where regular interest point detectors do not detect features. As these regions are usually non-textured, stable re-localization in different images with conventional methods is not possible. Therefore, a technique is presented which re-localizes once-detected NF-features...