This paper investigates the coincidence between six interest point detection methods (SIFT, MSER, Harris-Laplace, SURF, FAST & Kadir-Brady Saliency) with two robust “bottom-up” models of visual saliency (Itti and Harel) as well as “task” salient surfaces derived from observer eye-tracking data. Comprehensive statistics for all detectors vs. saliency models are presented in the presence and abse...

With man One of the most critical tasks in automated face recognition technology is the extraction of facial features from a facial images. The most critical task in each face recognition (FR) technology, which contributes the most to the success of particular FR products in particular applications and which is highly protected by industries developing those products, is the extraction of facia...

According to SIFT algorithm does not have the property of affine invariance, and the high complexity of time and space, it is difficult to apply to real-time image processing for batch image sequence, so an improved SIFT feature extraction algorithm was proposed in this paper. Firstly, the MSER algorithm detected the maximally stable extremely regions instead of the DOG operator detected extrem...

A method for the automatic detection and recognition of text and symbols painted on the road surface is presented. Candidate regions are detected as maximally stable extremal regions (MSER) in a frame which has been transformed into an inverse perspective mapping (IPM) image, showing the road surface with the effects of perspective distortion removed. Detected candidates are then sorted into wo...

Due to its high computational efficiency the Kanade Lucas Tomasi feature tracker is still widely accepted and a utilized method to compute sparse motion fields or trajectories in video sequences. This method is made up of a Good Feature To Track feature detection and a pyramidal Lucas Kanade feature tracking algorithm. It is well known that the Good Feature To Track takes into account the Apert...

A process for accurate text recognition of generic identification documents (ID) over cloud computing is presented. It consists of two steps, first, a smartphone camera takes a picture of the ID, which is sent to a cloud server; second, the image is processed by the server and the results are sent back to the smartphone. In the cloud server, image rectification, text detections and word recogni...

All current popular hand-crafted key-point detectors such as Harris corner, MSER, SIFT, SURF... rely on some specific pre-designed structures for the detection of corners, blobs, or junctions in an image. In this paper, a novel sparse coding based key-point detector which requires no particular predesigned structures is presented. The key-point detector is based on measuring the complexity leve...

This paper proposes the use of Factored Translation Models (FTMs) for improving a Speech into Sign Language Translation System. These FTMs allow incorporating syntactic-semantic information during the translation process. This new information permits to reduce significantly the translation error rate. This paper also analyses different alternatives for dealing with the non-relevant words. The s...

We use coins in our daily life to pay for bus, metro tickets, vending machines, etc. However, the market antique and historical is another place, where quality of their genuinity play a significant role. Hence, researchers have considered different methods coin detection studies. In recent years 2-D 3-D image processing approaches been widely used image-based detection. this paper, we propose m...

Despite years of work, a robust, widely applicable generic “symmetry detector” that can paral-lel other kinds computer vision/image processing tools for the more basic structural charac-teristics, such as “edge” or “corner” detector, remains computational challenge. A new symmetry feature detector with descriptor is proposed in this paper, namely Simple Robust Features (SRF) algorithm. performa...