The PASCAL Visual Object Classes Challenge

A scheme is developed for classifying the types of motion perceived by a humanlike robot. It is assumed that the robot receives visual images of the scene using a perspective system model. Equations, theorems, concepts, clues, etc., relating the objects, their positions, and their motion to their images on the focal plane are presented. >

http://ieeexplore.ieee.org/iel2/815/3148/00100651.pdf

Robot vision

In this paper, we present the computational tools and a hardware prototype for 3D face recognition. Full automation is provided through the use of advanced multistage alignment algorithms, resilience to facial expressions by employing a deformable model framework, and invariance to 3D capture devices through suitable preprocessing steps. In addition, scalability in both time and space is achieved by converting 3D facial scans into compact metadata. We present our results on the largest known, and now publicly available, face recognition grand challenge 3D facial database consisting of several thousand scans. To the best of our knowledge, this is the highest performance reported on the FRGC v2 database for the 3D modality

/pdf/three-dimensional-face-recognition-in-the-presence-of-facial-5270c3dnbi.pdf

Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach

One approach to ease the construction of frames is to first construct local components and then build a global frame from these. In this paper we will show that the study of the relation between a frame and its local components leads to the definition of a frame of subspaces. We introduce this new notion and prove that it provides us with the link we need. It will also turn out that frames of subspaces behave as a generalization of frames. In particular, we can define an analysis, a synthesis and a frame operator for a frame of subspaces, which even yield a reconstruction formula. Also concepts such as completeness, minimality, and exactness are introduced and investigated. We further study several constructions of frames of subspaces, and also of frames and Riesz frames using the theory of frames of subspaces. An important special case are harmonic frames of subspaces which generalize harmonic frames. We show that wavelet subspaces coming from multiresolution analysis belong to this class.

Frames of subspaces

The Self-Organizing Map (SOM) algorithm has attracted an ever increasing amount of interest among researches and practitioners in a wide variety of elds The SOM and a variant of it, the LVQ, have been analyzed extensively, a number of variants of them have been developed and, perhaps most notably, they have been applied extensively within elds ranging from engineering sciences to medicine, biology, and economics We have collected a comprehensive list of 3343 scienti c papers that use the algorithms, have bene ted from them, or contain analyses of them The list is intended to serve as a source for literature surveys We have provided both a thematic and a keyword index to help nding articles of interest

Bibliography of Self-Organizing Map (SOM) Papers: 1981-1997

In this work, we study analog-to-digital conversion and reconstruction outside of the strict regime of the sampling theorem for band-limited functions. We consider signals that are only essentially band-limited, and allow analysis and synthesis filters to be approximations of ideal filters. Our estimates for the reconstruction error are directly calculated from properties of the analysis and synthesis filters, such as the pass-band and stop-band ripples, the oversampling rate, and the decay properties of the two filters.

Analog to Digital, Revisited: Controlling the Accuracy of Reconstruction

We introduce the concept of frames of translates and we characterize the countable families of vectors generating such frames. In this context we generalize the concept of the Grammian introduced by Ron and Shen. We apply this characterization to study Generalized frame MRAs of L 2 (R). We also provide the characterization of frame multiwavelet sets associated with GFMRAs of L 2 (R) and we present examples of GFMRAs.

Frames of translates and examples of generalized frame multiresolution analyses

In this paper we implement a method for the 3D-rigid motion invariant texture discrimination and binary
classification for discrete 3D-textures that are spatially homogeneous by modelling them as stationary Gaussian
random fields. We use a novel 'distance' between 3D-textures that remains invariant under all 3D-rigid motions
of the texture to develop rules for 3D-rigid motion invariant texture discrimination and binary classification of
textures.

3D-rigid motion invariant discrimination and classification of 3D-textures

In this paper, we propose a new method to denoise a surface. This method is motivated by the Laplacian flow and the theory of tight frames. Mesh denoising is achieved by building local Wiener filtering into the detail representation of the surface. We have performed a number of experiments to assess the accuracy, advantages and limitations of our approach with very encouraging results

Surface denoising using a tight frame

. We introduce a prototypical methodological framework for a place-based GIS-RS system for the spatial delineation of place while incorporating spatial analysis and mapping techniques using methods from different fields such as environmental psychology, geography, and computer science. The methodological lynchpin for this to happen - when aiming to delineate place in terms of objects - is object-based image analysis (OBIA).

/pdf/object-based-image-analysis-beyond-remote-sensing-the-human-4ztsyw3g3f.pdf

Manos Papadakis

Papers

Analog to Digital, Revisited: Controlling the Accuracy of Reconstruction

Frames of translates and examples of generalized frame multiresolution analyses

3D-rigid motion invariant discrimination and classification of 3D-textures

Surface denoising using a tight frame

Object-based image analysis beyond remote sensing – the human perspective