@INPROCEEDINGS{GarciaVISAPP2007,
  IS = { zkontrolovano 13 Dec 2007 },
  UPDATE  = { 2007-07-24 },
  author =      {Garc{\' i}a-{A}rteaga , Juan D. and  Kybic,Jan 
                 and Gu, Jia and Li, Wenjing},
  title =       {Geometric and Information Constraints for Automatic Landmark 
                 Selection in Colposcopy Sequences},
  year =        {2007},
  pages =       {333--338},
  booktitle =   {VISAPP 2007: Proceedings of the Second International Conference
                 on Computer Vision Theory and Applications},
  bookpages =   {440},
  publisher =   {INSTICC-Institute for Systems and Technologies of Information, 
                 Control and Communication},
  address =     {Set{\'u}bal, Portugal},
  isbn =        {978-972-8865-73-3},
  annote = {Colposcopy is a diagnostic method to visually detect
    cancerous and pre-cancerous tissue regions in the uterine
    cervix. A typical result is a sequence of cervical images captured
    at different times after the application of a contrast agent that
    must be spatially registered to compensate for patient, camera and
    tissue movement and on which progressive color and texture changes
    may be seen. We present a method to automatically select correct
    landmarks for non-consecutive sequence frames captured at long
    time intervals from a group of candidate matches. Candidate
    matches are extracted by detecting and matching feature points in
    consecutive images.  Selection is based on geometrical constraints
    and a local rigid registration using Mutual Information. The
    results show that these landmarks may be subsequently used to
    either guide or evaluate the registration of these type of
    images},
  project =      {specific research},
  month =        {March},
  day   =        {8--11},
  VENUE =        {Barcelona, Spain},
  KEYWORDS =     {Medical Image Analysis, Registration, Computer-Aided Diagnosis, 
                  Colposcopy, Validation, Mutual Information},
  EDITOR =       {Alpesh Kumar Ranchordas and  Helder Ara{\'u}jo and Jordi Vitria},
  ORGANIZATION = {INSTICC},
  psurl = {PDF},
}