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We propose a method for localization and classification of brand logos in natural images. The system has to overcome multiple challenges such as perspective deformations, warping, variations of the shape and colors, occlusions, background variations. To deal with perspective variation, we rely on homography matching between the SIFT keypoints of logo instances of the same class. To address the changes...
In this paper we address the challenging problem of logo recognition. As logos appear in various scales, colors and with illuminations coming from source lights of various intensities, positions or colors, their recognition is a tedious task. The typical approach stands within Bag-of-Words (BoW) framework with SIFT (Scale Invariant Feature Transform) based features. To increase the accuracy, we rely...
In this paper we describe a new system for localization of landmarks in eye region. Firstly, in the upper face area possible the eye regions are described by concatenations of integral and edge projections. The features dimension is reduced through Principal Component Analysis (PCA) technique, to accelerate the computation. The resulting features are fed into a properly-trained Multi-Layer Perceptron...
This paper presents a study of three classification methods applied on natural images with the goal of detecting the eye regions. The challenge that we aim to solve is finding the eyes on faces expressing emotions - this is extremely difficult because the shape of the facial features changes drastically when the subject goes through an emotional state. We attempt to solve this challenge by looking...
This paper presents a method of automatic detection of colon polyps in endoscopic capsule images. This approach uses color and geometrical analysis of the images and uses histogram of gradients features and multilayer perceptron neural networks for performing the detection at multiple scales. The detection performance is tested using a database of 30540 images, 540 of them containing at least one...
Automatic detection of human face features plays a significant role in expression recognition and human computer interaction. Human eyebrows shape has good specificity and stability, hence precise localization outlines a series of threads for face expression analysis. This paper will introduce a simple method for eyebrow localization. The determined positions allow geometrical extraction of the upper...
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