Miguel Bordallo López

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The future multi-modal user interfaces of battery-powered mobile devices are expected to require computationally costly image analysis techniques. The use of Graphic Processing Units for computing is very well suited for parallel processing and the addition of programmable stages and high precision arithmetic provide for opportunities to implement(More)
Computer vision enables camera data to be utilized in user interfaces to analyze the 3-D context and automatically detect the user intentions. Using cameras as an input modality provides single-handed operations in which the users' actions are recognized without interactions with the screen or keypad. In this context, we have constructed a real-time mobile(More)
Local binary pattern (LBP) is a texture operator that is used in several different computer vision applications requiring, in many cases, real-time operation in multiple computing platforms. The irruption of new video standards has increased the typical resolutions and frame rates, which need considerable computational performance. Since LBP is essentially(More)
Modern mobile communication devices frequently contain built-in cameras allowing users to capture highresolution still images, but at the same time the imaging applications are facing both usability and throughput bottlenecks. The difficulties in taking ad hoc pictures of printed paper documents with multi-megapixel cellular phone cameras on a common(More)
The small size of handheld devices, their video capabilities and multiple cameras are under-exploited assets. Properly combined, the features can be used for creating novel applications that are ideal for pocket-sized devices, but may not be useful in laptop computers, such as interactively capturing and analyzing images on the fly. In this paper we(More)
Image stitching is used to combine several images into one wide-angled mosaic image. Traditionally mosaic images have been constructed from a few separate photographs, but nowadays that video recording has become commonplace even on mobile phones, it is possible to consider also video sequences as a source for mosaic images. However, most stitching methods(More)
The Kinship Face in the Wild data sets, recently published in TPAMI, are currently used as a benchmark for the evaluation of kinship verification algorithms. We recommend that these data sets are no longer used in kinship verification research unless there is a compelling reason that takes into account the nature of the images. We note that most of the(More)
Automatic kinship verification using facial images is a relatively new and challenging research problem in computer vision. It consists in automatically predicting whether two persons have a biological kin relation by examining their facial attributes. While most of the existing works extract shallow handcrafted features from still face images, we approach(More)
In contrast to global image descriptors which compute features directly from the entire image, local descriptors representing the features in small local image patches have proved to be more effective in real world conditions. This paper considers three recent yet popular local descriptors, namely Local Binary Patterns (LBP), Local Phase Quantization (LPQ)(More)
Although still-to-video face recognition is an important function in watchlist screening, state-of-the-art systems often yield limited performance due to camera inter-operability and to variations in capture conditions. Therefore, the visual comparison of faces captured in unconstrained low-quality videos against a matching high-quality reference facial(More)