Verónica Vilaplana

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This paper discusses the use of binary partition trees (BPTs) for object detection. BPTs are hierarchical region-based representations of images. They define a reduced set of regions that covers the image support and that spans various levels of resolution. They are attractive for object detection as they tremendously reduce the search space. In this paper,(More)
A new algorithm for face segmentation and tracking is presented. The face segmentation step relies on a fine segmentation of the image based on color homogeneity. In order to reduce the number of possible mergings, a merging order using chrominance homogeneity is applied. The sequence of mergings is represented as a binary tree. A set of regions (a node in(More)
In this paper, we address the modality integration issue on the example of a smart room environment aiming at enabling person identification by combining acoustic features and 2D face images. First we introduce the monomodal audio and video identification techniques and then we present the use of combined input speech and face images for person(More)
This paper presents a technique for detecting caption text for indexing purposes. This technique is to be included in a generic indexing system dealing with other semantic concepts. The various object detection algorithms are required to share a common image description which, in our case, is a hierarchical region-based image model. Caption text objects are(More)
This paper presents an object recognition method that exploits the representation of the images obtained by means of a binary partition tree (BPT). The shape matching technique in which it is based was first presented in F. Marques et al., (2002). This method compares a transformed version of an object shape model (reference contour) to the contours of a(More)
This paper studies the procedure to create a hierarchical region-based image representation aiming at generic image analysis. This study is carried out in the context of bottom-up segmentation algorithms and, specifically, using the Binary Partition Tree implementation. The different steps necessary to create a hierarchical region-based representation are(More)
We present a new technique for object tracking that is an extension of the mean shift tracking algorithm. The proposed technique relies on a segmentation of the area under analysis into a set of color-homogenous regions. The use of regions allows a robust estimation of the likelihood distributions that form the object and background models, as well as a(More)