Abstract book (pdf) - ICPR 2010

Ramos, Daniel, Univ. Autonoma de Madrid
Fierrez, Julian, Univ. Autonoma de Madrid
Ortega-Garcia, Javier, Univ. Autonoma de Madrid
Exposito-Marquez, NicomedesDepartamento de Identificacion. Servicio de Criminalistica de la Guardia Civil, Ministerio
del Interior, Spain.
This work studies the performance of a state-of-the-art fingerprint recognition technology, in several practical scenarios
of interest in forensic casework. First, the differences in performance between manual and automatic minutiae extraction
for latent fingerprints are presented. Then, automatic minutiae extraction is analyzed using three different types of fingerprints:
latent, rolled and plain. The experiments are carried out using a database of latent finger marks and fingerprint impressions
from real forensic cases. The results show high performance degradation in automatic minutiae extraction
compared to manual extraction by human experts. Moreover, high degradation in performance on latent finger marks can
be observed in comparison to fingerprint impressions.
TuBCT8 Upper Foyer
3D Shape Recovery; Image and Physics-Based Modeling; Motion and Multi-View Vision; Tracking and Surveillance
Poster Session
Session chair: Jiang, Xiaoyi (Univ. of Münster)
13:30-16:30, Paper TuBCT8.1
Online Next-Best-View Planning for Accuracy Optimization using an Extended E-Criterion
Trummer, Michael, Friedrich-Schiller Univ. of Jena
Munkelt, Christoph, Fraunhofer Society
Denzler, Joachim, Friedrich-Schiller Univ. of Jena
Next-best-view (NBV) planning is an important aspect for three-dimensional (3D) reconstruction within controlled environments,
such as a camera mounted on a robotic arm. NBV methods aim at a purposive 3D reconstruction sustaining
predefined goals and limitations. Up to now, literature mainly presents NBV methods for range sensors, model-based approaches
or algorithms that address the reconstruction of a finite set of primitives. For this work, we use an intensity
camera without active illumination. We present a novel combined online approach comprising feature tracking, 3D reconstruction,
and NBV planning that addresses arbitrary unknown objects. In particular we focus on accuracy optimization
based on the reconstruction uncertainty. To this end we introduce an extension of the statistical E-criterion to model directional
uncertainty, and we present a closed-form, optimal solution to this NBV planning problem. Our experimental
evaluation demonstrates the effectivity of our approach using an absolute error measure.
13:30-16:30, Paper TuBCT8.2
Non Contact 3D Measurement Scheme for Transparent Objects using UV Structured Light
Rantoson, Rindra, LE2I
Fofi, David, Le2i UMR CNRS 5158
Stolz, Christophe, LE2I
Meriaudeau, Fabrice, LE2I
This paper introduces a novel 3D measurement scheme based on UV laser triangulation to ascertain the shape of transparent
objects. Transparent objects are extremely difficult to scan with traditional 3D scanners because of the refraction problem
observed in the visible range. Therefore, the object surface needs to be preliminary powdered before being digitized with
commercial scanners. Our approach consists of using non contact measurement scheme while dealing with the refraction
problem in visible environment. The object shape is computed by classical triangulation method based on stereovision
constraint. The proposed acquisition system is composed of two classical visible range cameras and a UV laser source.
The exploitation of the UV laser for triangulation system characterizes the novelty of the proposed approach. The fluorescence
generated by the UV radiation enables to acquire 3D data of transparent surface with a classical stereovision scheme.
13:30-16:30, Paper TuBCT8.3
Extending Fast Marching Method under Point Light Source Illumination and Perspective Projection
Iwahori, Yuji, Chubu Univ.
Iwai, Kazuki, Chubu Univ.
Woodham, Robert J., Univ. of British Columbia
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