Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Recognition of Planar Objects Using Multiresolution Analysis | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 70351 9 pages doi 2007 70351 Research Article Recognition of Planar Objects Using Multiresolution Analysis Nazli Guney and Aysin Ertuzun Department of Electrical and Electronics Engineering Bogazifi University 34342 Bebek Istanbul Turkey Received 29 August 2005 Revised 29 May 2006 Accepted 16 July 2006 Recommended by Antonio Ortega By using affine-invariant shape descriptors it is possible to recognize an unknown planar object from an image taken from an arbitrary view when standard view images of candidate objects exist in a database. In a previous study an affine-invariant function calculated from the wavelet coefficients of the object boundary has been proposed. In this work the invariant is constructed from the multiwavelet and multi scaling function coefficients of the boundary. Multiwavelets are known to have superior performance compared to scalar wavelets in many areas of signal processing due to their simultaneous orthogonality symmetry and short support properties. Going from scalar wavelets to multiwavelets is challenging due to the increased dimensionality of multiwavelets. This increased dimensionality is exploited to construct invariants with better performance when the multiwavelet detail coefficients are available. However with multi scaling function coefficients which are more stable in the presence of noise scalar wavelets cannot be defeated. Copyright 2007 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Object recognition is one of the most difficult problems in computer vision. However if the problem definition includes only planar objects which are to be viewed from arbitrary directions it is possible to design recognition systems that have satisfactory performances. When the depth of an object along the line of sight is small compared to the viewing distance of the camera as its images are produced from different
