Moments of elliptic fourier descriptors

This paper develops a recursive method for computing moments of 2D objects described by elliptic Fourier descriptors (EFD). Green’s theorem is utilized to transform 2D surface integrals into 1D line integrals and EFD description is employed to derive recursions for moments computations. Experiments are performed to quantify the accuracy of our proposed method. Comparison with Bernstein-B´ezier representations is also provided

Panoramic Image Generation Algorithm based on Hu’s Moment Invariants

The construction of large, high-resolution image is an active area of research in the fields of computer vision, image processing, and computer graphics. A Panorama is the process of combining multiple images with overlapping fields of view to produce a panorama. It is possible to produce a complete view of an area or location that cannot fit in a single shot. In this paper a high performance method for generating panoramic image is introduced. The process to generate a panoramic view can be divided into three main components: image acquisition, image registration, and merging. Geometric moment invariant produces a set of feature vectors that are invariant under shifting, scaling and rotation. The technique is widely used to extract the global features for pattern recognition due to its discrimination power and robustness. In this paper, moment invariant is used to determine the locations of merging the images to produce the panorama. The final step is adjusting the colors of the merged images. The results of experiments conducted on images taken by camera and test images loaded from the internet. The results show that the proposed algorithm is fast and efficient

OBJECT RECOGNITION USING ANGLES IN THE PROJECTIVE PLANE

ABSTRACT In this paper, we propose a recognition technique for objects which are represented as closed contours. Our algorithm relies on the angular similarity between the contours and exploits the properties of the Fourier Transform, plane projective geometry and the wavelet transform. An important contribution of the proposed method is that it can recognize objects acquired from any viewing direction (such as oblique) and even when the objects are partially occluded, without finding any conjugate points. The experimental results on an in-house developed geographic database, and the Brown University object database show robust recognition performance

Extraction of textual information from image for information retrieval

Ph.DDOCTOR OF PHILOSOPH

Advanced Technologies for Human-Computer Interfaces in Mixed Reality

As human beings, we trust our five senses, that allow us to experience the world and communicate. Since our birth, the amount of data that every day we can acquire is impressive and such a richness reflects the complexity of humankind in arts, technology, etc. The advent of computers and the consequent progress in Data Science and Artificial Intelligence showed how large amounts of data can contain some sort of “intelligence” themselves. Machines learn and create a superimposed layer of reality. How data generated by humans and machines are related today? To give an answer we will present three projects in the context of “Mixed Reality”, the ideal place where Reality, Virtual Reality and Augmented Reality are increasingly connected as long as data enhance the digital experiences, making them more “real”. We will start with BRAVO, a tool that exploits the brain activity to improve the user’s learning process in real time by means of a Brain-Computer Interface that acquires EEG data. Then we will see AUGMENTED GRAPHICS, a framework for detecting objects in the reality that can be captured easily and inserted in any digital scenario. Based on the moments invariants theory, it looks particularly designed for mobile devices, as it assumes a light concept of object detection and it works without any training set. As third work, GLOVR, a wearable hand controller that uses inertial sensors to offer directional controls and to recognize gestures, particularly suitable for Virtual Reality applications. It features a microphone to record voice sequences that then are translated in tasks by means of a natural language web service. For each project we will summarize the main results and we will trace some future directions of research and development