%0 Conference Paper %1 Förstner9610pros %A Förstner, Wolfgang %D 1996 %K ComputerVision benchmark evaluation optical_flow performance %P 13--29 %T 10 Pros and Cons Against Performance Characterization of Vision Algorithms %U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.4351 %X The paper discusses objections against performance characterization of vision algorithms and explains their motivation. Short and long-term arguments are given which overcome these objections. The methodology for performance characterization is sketched to demonstrate the feasibility of empirical testing staffof vision algorithms. 0 Motivation For at least 10 years Computer Vision has been confronted with papers and discussions on the scientific value of its results and the difficulties in transferring the results to practical systems. A change of awareness seems to have happened: At the Computer Vision Workshop 1985 two controversial papers, with different views, agreed on the lack of theoretical research (9, 13), which should go along with the development of vision procedures: experimental proofs are not enough. The dialogue on 'Ignorance, Myopia, and Naivit'e in Computer Vision Systems' initiated by R. Jain and T. Binford (10) and the responses documented the necessity of ev...

@inproceedings{Förstner9610pros, abstract = {The paper discusses objections against performance characterization of vision algorithms and explains their motivation. Short and long-term arguments are given which overcome these objections. The methodology for performance characterization is sketched to demonstrate the feasibility of empirical testing staffof vision algorithms. 0 Motivation For at least 10 years Computer Vision has been confronted with papers and discussions on the scientific value of its results and the difficulties in transferring the results to practical systems. A change of awareness seems to have happened: At the Computer Vision Workshop 1985 two controversial papers, with different views, agreed on the lack of theoretical research ([9], [13]), which should go along with the development of vision procedures: experimental proofs are not enough. The dialogue on 'Ignorance, Myopia, and Naivit'e in Computer Vision Systems' initiated by R. Jain and T. Binford ([10]) and the responses documented the necessity of ev...}, added-at = {2013-10-22T15:46:20.000+0200}, author = {Förstner, Wolfgang}, biburl = {https://www.bibsonomy.org/bibtex/24b55ebfd3e3c015dc643f91bc540b5ef/alex_ruff}, description = {CiteSeerX — 10 Pros and Cons Against Performance Characterization of Vision Algorithms}, interhash = {58cbb51fcf8e9550be5b75990319c1bd}, intrahash = {4b55ebfd3e3c015dc643f91bc540b5ef}, keywords = {ComputerVision benchmark evaluation optical_flow performance}, pages = {13--29}, timestamp = {2013-10-22T15:46:20.000+0200}, title = {10 Pros and Cons Against Performance Characterization of Vision Algorithms}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.4351}, year = 1996 }