Laboratorio de Visión Computacional

Descripción

El laboratorio de visión computacional fue creado en 2001. El principal interés es el desarrollo de nuevos paradigmas en visión computacional, así como la aplicación de técnicas de procesamiento de imágenes, aprendizaje de máquinas e inteligencia computacional para solucionar problemas de visión computacional y reconocimiento de patrones.

Sus principales líneas de investigación son: análisis de caras en imágenes y videos (detección, reconocimiento, tracking); detección y tracking de humanos; detección y reconocimiento de objetos y análisis de escenas; visión en robots móviles (auto-localización, tracking, SLAM visual); y desarrollo de interfaces humano-máquina y cerebrales de tipo BCI (Brain Computer Interfaves).

Equipamiento e instrumentos

Cámaras (espectro visible y espectro termal), sensores de profundidad (Kinect y Láser) e interfaces BCI. Computadores de escritorio y computadores para cálculo científico.

Miembros permanentes

• Dr. Mauricio Correa
  Correo electrónico: macorrea@ing.uchile.cl
• Dr. Patricio Loncomilla
  Correo electrónico: ploncomi@ing.uchile.cl
• Dr. Rodrigo Verschae
  Teléfonos: +562 29771000 - +562 29784207
  Correo electrónico: rodrigo@verschae.org

Académico responsable

• Prof. Dr. Javier Ruiz del Solar
  Departamento de Ingeniería Eléctrica, Universidad de Chile
  Teléfonos: +562 29771000 - +562 29784207
  Fax: +562 26720162
  Correo electrónico: jruizd@ing.uchile.cl
  Dirección: Av. Tupper 2007, 837-0451, Santiago, Chile
  Página web: http://www.cec.uchile.cl/~jruizd

Proyectos

• "Semantic Perception and Mapping for Mobile Robots in Unconstrained Environments". FONDECYT Regular (2012) 1130153. Investigador Principal: Javier Ruiz-del-Solar.
• "Boosting Learning Algorithms for Multiclass Classification and Multidimensional Regression: Applications to Object Detection and Classification", FONDECYT Postdoctorado (2011) 3120218. Investigador Principal: Rodrigo Verschae.
• "Hybrid model based markerless 3D tracking for augmented reality and visual servoing", 2010, Co-financiado por programa TIC-AMSUD y CONICYT. Investigador Principal: Javier Ruiz-del-Solar.

• Mauricio Correa, Gabriel Hermosilla, Rodrigo Verschae, Javier Ruiz-del-Solar, "Human Detection and Identification by Robot using Thermal and Visual Information in Domestic Environments", In Journal of Intelligent and Robotic Systems, Kluwer Academic Publishers, vol. 66, no. 1-2, Hingham, MA, USA, pp. 223-243, 2012.
• Gabriel Hermosilla, Javier Ruiz-del-Solar, Rodrigo Verschae, Mauricio Correa, "A comparative study of thermal face recognition methods in unconstrained environments", In Pattern Recognition, vol. , no. 0, pp. -, 2012.
• Patricio Loncomilla, Javier Ruiz-del-Solar, "Visual SLAM Based on Rigid-Body 3D Landmarks", In Journal of Intelligent and Robotic Systems, vol. 66, no. 1-2, pp. 125-149, 2012.
• Javier Ruiz-del-Solar, Rodrigo Verschae, Matias Arenas, Patricio Loncomilla, "Play Ball! Fast and Accurate Multiclass Visual Detection of Robots and its Application to Behavior Recognition", In Robotics Automation Magazine, IEEE, vol. 17, no. 4, pp. 43 -53, 2010.
• Matias Arenas, Javier Ruiz-del-Solar, Rodrigo Verschae, Patricio Loncomilla, "Visual Detection of Legged Robots and Its Application to Robot Soccer Playing and Refereeing", In International Journal on Humanoid Robotics, vol. 7, no. 4, pp. 669-698, 2010.
• Javier Ruiz-del-Solar, Rodrigo Verschae, Mauricio Correa, "Recognition of Faces in Unconstrained Environments: A Comparative Study", In EURASIP Journal on Advances in Signal Processing, vol. -, 2009.
• Javier Ruiz-Del-Solar, Patricio Loncomilla, "Robot Head Pose Detection and Gaze Direction Determination Using Local Invariant Features", In ADVANCED ROBOTICS, vol. 23, no. 3, pp. 305-328, 2009.
• Rodrigo Verschae, Javier Ruiz-del-Solar, Mauricio Correa, "A unified learning framework for object detection and classification using nested cascades of boosted classifiers", In Machine Vision Applications, Springer-Verlag New York, Inc., vol. 19, no. 2, Secaucus, NJ, USA, pp. 85-103, 2008.

Publicaciones

• Loncomilla, P., Tapia, C., Daud, O., Ruiz-del-Solar, J. (2014). A Novel Methodology for Assessing the Fall Risk using Low-Cost and Off-the-Shelf Devices, IEEE Trans. on Human-Machine Systems, Vol. 44, No. 3, pp. 406-415, June 2014. (ISI)
• Mauricio Correa, Gabriel Hermosilla, Rodrigo Verschae, Javier Ruiz-del-Solar, "Human Detection and Identification by Robot using Thermal and Visual Information in Domestic Environments", In Journal of Intelligent and Robotic Systems, Kluwer Academic Publishers, vol. 66, no. 1-2, Hingham, MA, USA, pp. 223-243, 2012.
• Gabriel Hermosilla, Javier Ruiz-del-Solar, Rodrigo Verschae, Mauricio Correa, "A comparative study of thermal face recognition methods in unconstrained environments", In Pattern Recognition, vol. , no. 0, pp. -, 2012.
• Patricio Loncomilla, Javier Ruiz-del-Solar, "Visual SLAM Based on Rigid-Body 3D Landmarks", In Journal of Intelligent and Robotic Systems, vol. 66, no. 1-2, pp. 125-149, 2012.
• Javier Ruiz-del-Solar, Rodrigo Verschae, Matias Arenas, Patricio Loncomilla, "Play Ball! Fast and Accurate Multiclass Visual Detection of Robots and its Application to Behavior Recognition", In Robotics Automation Magazine, IEEE, vol. 17, no. 4, pp. 43 -53, 2010.
• Matias Arenas, Javier Ruiz-del-Solar, Rodrigo Verschae, Patricio Loncomilla, "Visual Detection of Legged Robots and Its Application to Robot Soccer Playing and Refereeing", In International Journal on Humanoid Robotics, vol. 7, no. 4, pp. 669-698, 2010.
• Javier Ruiz-del-Solar, Rodrigo Verschae, Mauricio Correa, "Recognition of Faces in Unconstrained Environments: A Comparative Study", In EURASIP Journal on Advances in Signal Processing, vol. -, 2009.
• Javier Ruiz-Del-Solar, Patricio Loncomilla, "Robot Head Pose Detection and Gaze Direction Determination Using Local Invariant Features", In ADVANCED ROBOTICS, vol. 23, no. 3, pp. 305-328, 2009.
• Rodrigo Verschae, Javier Ruiz-del-Solar, Mauricio Correa, "A unified learning framework for object detection and classification using nested cascades of boosted classifiers", In Machine Vision Applications, Springer-Verlag New York, Inc., vol. 19, no. 2, Secaucus, NJ, USA, pp. 85-103, 2008.