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Facial image analysis is an important computer vision topic as a first step for biometric applications like face recognition/verification. The ICAO specification defines criteria to assess suitability of facial images for later use in such tasks. This standard prohibits photographs showing occlusions, thus there is the need to detect occluded images automatically. In this work we present a novel algorithm...
Top-down class-specific knowledge is crucial for accurate image segmentation, as low-level color and texture cues alone are insufficient to identify true object boundaries. However, existing methods such as conditional random field models (CRFs) generally impose the class-specific knowledge only at the “node” level, evaluating class membership probabilities at the (super)pixels that define the random...
A correlation-enhanced similarity matching framework for medical image retrieval is presented in a local concept-based feature space. In this framework, images are presented by vectors of concepts that comprise of local color and texture patches of image regions in a multi-dimensional feature space. To generate the concept vocabularies and represent the images, statistical models are built using a...
The application of digital technologies to culture history preservation and interpretation is a rapidly growing field that has captured the imagination of many. In this work, we explore the application of image classification systems for use in the reconstruction of archaeologically excavated 18th and 19th-century ceramic fragments. In specific, we investigate the classification of thin-shell ceramics...
The use of one-shot pattern projection to obtain 3D dense reconstruction constitutes a promising field of research in structured light. Most of the related works presented in the literature are based on the projection of a fringe pattern to extract depth from phase deviation. However, the algorithms employed to unwrap the phase are computationally slow and can fail under certain slopes and occlusions...
We propose an automatic color contrast enhancement algorithm that improves the visual quality of static images for both normally sighted people and for low-vision patients. Existing methods have been shown to work on people either with normal vision or with low vision. Due to the framework of this approach, an enhanced visual experience can be simultaneously provided to normally sighted people and...
Structured Light is a well-known method for acquiring 3D surface data. Single-shot methods are restricted to the use of only one pattern, but make it possible to measure even moving objects with simple and compact hardware setups. However, they typically operate at lower resolutions and are less robust than multi-shot approaches. This paper presents an algorithm for decoding images of a scene illuminated...
Tracking of objects using colour histograms has proven successful in various visual surveillance systems. Such systems rely heavily on similarity matrices to compare the appearance of targets in successive frames. The computational cost of the similarity matrix is increased if proximate objects merge into a single object or a single object fragments into two or more parts. This paper presents a method...
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