@InProceedings{CoelhoCamp:1997:SiVeTe,
               author = "Coelho, L{\'u}cio de Souza and Campos, M{\'a}rio Fernando 
                         Montenegro",
                title = "Similarity-based versus template matching-based methodologies for 
                         image alignment of polyhedral-like objects under noisy 
                         conditions",
            booktitle = "Proceedings...",
                 year = "1997",
               editor = "Figueiredo, Luiz Henrique de and Netto, Marcio Lobo",
                pages = "155--162",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 10. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Campos de Jord{\~a}o, SP, Brazil, from 
                         October 13 to 16.",
             keywords = "template matching, geometric modeling, biological applications.",
             abstract = "The image alignment problem has as input a set of different images 
                         from a single object or several identical objects. One instance of 
                         the object in each image is misaligned relatively to the other in 
                         a given image, that is, the objects lie in different positions and 
                         orientations. Thus, the problem consists in finding the 
                         homogeneous planar transforms for each of those instances. The 
                         process is not simple in the case of noisy images. Nevertheless, 
                         it is possible to tackle some cases of the image alignment problem 
                         using template matching. This work describes two methodologies 
                         that were developed to align noisy images of protein quaternary 
                         structures obtained by Transmission Electron Microscopy (TEM). 
                         These structures can be geometrically described by regular prisms 
                         and polyhedra. One of the methods uses the traditional approach 
                         for this problem - exploring image similarities. The second one 
                         explores the geometric simplicity of the objects being imaged by 
                         using template matching in order to solve the problem. The results 
                         show that there are cases where the template matching method 
                         achieves higher precision and computational efficiency to align 
                         that kind of image when compared to traditional ones.",
  conference-location = "Campos de Jord{\~a}o, SP, Brazil",
      conference-year = "Oct. 1997",
             language = "en",
         organisation = "SBC - Sociedade Brasileira de Computa{\c{c}}{\~a}o; USP - 
                         Universidade de S{\~a}o Paulo",
                  ibi = "83LX3pFwXQZW44Lb/d8rcJ",
                  url = "http://urlib.net/ibi/83LX3pFwXQZW44Lb/d8rcJ",
           targetfile = "art19.pdf",
        urlaccessdate = "2024, Apr. 27"
}