seraleov@telin.ugent.be

In 2001 Sergio Alejandro Orjuela Vargas graduated as electronic engineer from the National University in Colombia. Afterwards he conducted a postgraduate in statistics in Tolima University. He graduated in control automation at the University of Ibagué in Colombia in agreement with Ghent and Leuven Universities. From 2008, he is conducting a PhD at the Image Processing and Interpretation research group (IPI) of the Department of Telecommunications and Information Processing (TELIN) at Ghent University. His main topic of research is texture analysis.

Publications:

[1] S. A. Orjuela, E. Vansteenkiste, F. Rooms, S. De Meulemeester, R. De Keyser, and W. Philips, “Evaluation of the wear label description in carpets by using local binary pattern techniques,” Textile Research Jounal. August, 2010.

[2] S. A. Orjuela, B. Ortiz, S. De Meulemeester, Julio C. Garcia, F. Rooms, A. Pizurica, and W. Philips, “Surface reconstruction of wear in carpets by using a wavelet edge detector,” In Lecture Notes in Computer Science (Advanced Concepts For Intelligent Vision Systems), 2010.

[3] S. A. Orjuela, E. Vansteenkiste, F. Rooms, S. De Meulemeester, R. De Keyser, and W. Philips, “Automated wear label assessment in carpets by using local binary pattern statistics on depth and intensity images,” in Proc. Of IEEE ANDESCON 2010: Green Technologies for a Better World, 2010.

[4] S. A. Orjuela, E. Vansteenkiste, F. Rooms, S. De Meulemeester, R. De Keyser, and W. Philips. “Texture Wear Analysis in Textile Floor Coverings by Using Depth Information”. XV Simposio de Tratamiento de Señales, Imágenes y Visión Artificial STSIVA 2010.

[5] S. A. Orjuela, E. Vansteenkiste, F. Rooms, S. De Meulemeester, R. De Keyser, and W. Philips, “A comparison between intensity and depth images for extracting features related to wear labels in carpets,” SPIE 7798, 2010.

[6] S. A. Orjuela, F. Rooms, and W. Philip. “Geometric Local Binary Pattern, a New Approach to Analyse Texture in Images”, International Conference on Topology and its Applications, 2010.

[7] S. A. Orjuela, D. Van Daele, F. Rooms, R De Keiser, and W. Philips. “Analysing Carpet Wear”, SPIE Newsroom, 2010.

[8] S. A. Orjuela, E. Vansteenkiste, F. Rooms, S. De Meulemeester, R. De Keyser, and W. Philips, “Feature extraction of the wear label of carpets by using a novel 3d scanner,” in Proc. of the Optics, Photonics and Digital Technologies for Multimedia Applications conference, 2010.

[9] D. Martinez, S. A. Orjuela, "Máquina De Vectores De Soporte Para La Detección De Defectos Textiles Empleando Características Espaciales De Textura". En: Colombia. Revista Colombiana De Tecnologías De Avanzada  V.2(14) p.1-8 , 2009.

[10] S. A. Orjuela, R. De Keyser, and W. Philips, “Evaluation of Geometrical Local Binary Patterns (GLBP) in carpet wear analysis". Proceedings 10de doctoraats.symposium, , p.92 - 93 , 2009.

[11] C. Copot, S. Syafiie, S. A. Orjuela, R. De Keyser, V. L. L., and C. Lazar, “Carpet wear classification based on support vector machine pattern recognition approach,” in IEEE International conference on Intelligent Computer Communication and Processing, 5th, Proceedings, pp. 161–164, 2009.

[12] S. A. Orjuela, C. Copot, S. Syafiie, E. Vansteenkiste, F. Rooms, W. Philips, R. De Keyser, and L. Van Langenhove, “Carpet wear classification using coocurrence matrices and support vector machines,” in Proc. of the XIII Simposio de Tratamiento de señles, Imágenes y Visón Artificial, 2008.

[13] S. A. Orjuela, C. Copot, S. Syafiie, E. Vansteenkiste, F. Rooms, W. Philips, R. De Keyser, and L. Van Langenhove, “Carpet wear classification using coocurrence matrices and support vector machines,” The Nineteenth Annual Workshop On Circuits, Systems And Signal Processing (Prorisc), p.378 - 383  ,2008