Antonio Garrido Carrillo-rekin lankidetzan egindako argitalpenak (11)

2003

  1. An optical flow probabilistic observation model for tracking

    IEEE International Conference on Image Processing

  2. Local motion estimation from stereo image sequences

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2652, pp. 740-747

  3. Optical flow-based probabilistic tracking

    Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003

  4. Probabilistic observation models for tracking based on optical flow

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2652, pp. 462-469

  5. Using optical flow as evidence for probabilistic tracking

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2749, pp. 1044-1049

2002

  1. Recovering non-rigid 3D shape using a plane+parallax approach

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2000

  1. Applying deformable templates for cell image segmentation

    Pattern Recognition, Vol. 33, Núm. 5, pp. 821-832

1998

  1. Boundary simplification using a multiscale dominant-point detection algorithm

    Pattern Recognition, Vol. 31, Núm. 6, pp. 791-804

  2. Physically-based active shape models: Initialization and optimization

    Pattern Recognition, Vol. 31, Núm. 8, pp. 1003-1017

1997

  1. A new methodology to automatically segment biomedical images

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

1995

  1. A new methodology to solve the problem of characterizing 2-D biomedical shapes

    Computer Methods and Programs in Biomedicine, Vol. 46, Núm. 3, pp. 187-205