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Antonio Esteban Lansaque. (2014). 3D reconstruction and recognition using structured ligth (Vol. 179). Master's thesis, , .
Abstract: This work covers the problem of 3D reconstruction, recognition and 6DOF pose estimation. The goal of this project is to reconstruct a 3D scene and to align an object model of the industrial pieces onto the reconstructed scene. The reconstruction algorithm is based on stereo techniques and the recognition algorithm is based on SHOT descriptors computed on a set of uniform keypoints. Correspondences are used to estimate a first 6DOF transformation that maps the model onto the scene and then ICP algorithm is used to refine the transformation. In order to check the effectiveness of the proposed algorithm, several experiments were performed. These experiments were conducted on a lab environment in order to get results under the same conditions in all of them. Although obtained results are not real time results, the proposed algorithm ends up with high rates of object recognition.
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Anton Cervantes. (2005). Biometric Newborn Identification.
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Anna Salvatella, & Maria Vanrell. (2002). Towards a texture representation database.
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Anna Salvatella. (2001). On texture description.
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Anjan Dutta. (2010). Symbol Spotting in Graphical Documents by Serialized Subgraph Matching (Vol. 159). Master's thesis, , .
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Alicia Fornes. (2005). Analysis of Old Handwritten Musical Scores.
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Alex Caralps. (2000). Estudi de viabilitat per la inspeccio automatica de cintes elastiques amb silicona.
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Alejandro Gonzalez Alzate. (2011). Evaluation of spatiotemporal descriptors for pedestrian detection in video sequences (Vol. 166). Master's thesis, , .
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Albert Gordo. (2009). A Cyclic Page Layout Descriptor for Document Classification & Retrieval (Vol. 128). Master's thesis, , Bellaterra, Barcelona.
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Albert Andaluz. (2009). LV Contour Segmentation in TMR images using Semantic Description of Tissue and Prior Knowledge Correction (Vol. 142). Master's thesis, , Bellaterra 08193, Barcelona, Spain.
Abstract: The Diagnosis of Left Ventricle (LV) pathologies is related to regional wall motion analysis. Health indicator scores such as the rotation and the torsion are useful for the diagnose of the Left Ventricle (LV) function. However, this requires proper identification of LV segments. On one hand, manual segmentation is robust, but it is slow and requires medical expertise. On the other hand, the tag pattern in Tagged Magnetic Resonance (TMR) sequences is a problem for the automatic segmentation of the LV boundaries. Consequently, we propose a method based in the classical formulation of parametric Snakes, combined with Active Shape models. Our semantic definition of the LV is tagged tissue that experiences motion in the systolic cycle. This defines two energy potentials for the Snake convergence. Additionally, the mean shape corrects excessive deviation from the anatomical shape. We have validated our approach in 15 healthy volunteers and two short axis cuts. In this way, we have compared the automatic segmentations to manual shapes outlined by medical experts. Also, we have explored the accuracy of clinical scores computed using automatic contours. The results show minor divergence in the approximation and the manual segmentations as well as robust computation of clinical scores in all cases. From this we conclude that the proposed method is a promising support tool for clinical analysis.
Keywords: Active Contour Models; Snakes; Active Shape Models; Deformable Templates; Left Ventricle Segmentation; Generalized Orthogonal Procrustes Analysis; Harmonic Phase Flow; Principal Component Analysis; Tagged Magnetic Resonance
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Ahmed Mounir Gad. (2010). Object Localization Enhancement by Multiple Segmentation Fusion (Vol. 152). Master's thesis, , .
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Agata Lapedriza. (2005). Face Classification using External Face Features.
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A. Quingles. (2001). Particio de sòlids.
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A. Pagani. (2002). Analisis y comparacion de metodos para la caracterizacion de la respuesta espectral de camaras.
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A. Martinez, & Robert Benavente. (1998). The AR face database.
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