2010
DOI: 10.1007/978-3-642-14061-7_4
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Finding Optimal Parameter Configuration for a Dynamic Triangle Mesh Compressor

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Cited by 3 publications
(6 citation statements)
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“…To perform a fair comparison using a particular distortion metric, all the compared compression algorithms need to be optimally configured with respect to that metric. Petřík and Váša proposed an optimisation technique for configuring a dynamic mesh compression algorithm optimally with respect to a chosen metric [PV10]. This technique has been subsequently used, together with the STED metric, in the development of the perception-driven compression algorithm published in [VP11].…”
Section: Application To Dynamic Mesh Compressionmentioning
confidence: 99%
“…To perform a fair comparison using a particular distortion metric, all the compared compression algorithms need to be optimally configured with respect to that metric. Petřík and Váša proposed an optimisation technique for configuring a dynamic mesh compression algorithm optimally with respect to a chosen metric [PV10]. This technique has been subsequently used, together with the STED metric, in the development of the perception-driven compression algorithm published in [VP11].…”
Section: Application To Dynamic Mesh Compressionmentioning
confidence: 99%
“…The task is to minimize D ( q 1, q 2, …, q n ) under the condition that for some given target rate r t . The method of Lagrange multiplier yields a condition for the optimum grad ( D ) = λ grad ( R ), which can be rewritten as which is also known as the principle of equal slopes [PV10]. Note that the intuitive justification of this condition is, that if there was a different slope in a pair of parameters q i and q j , then it would be possible to reach a configuration that has the same rate and smaller distortion by increasing one of these parameters and decreasing the other.…”
Section: Methodsmentioning
confidence: 99%
“…The overall performance depends on the interplay of these parameters. If the optimal compression performance is required, then one can use a procedure similar to the one presented in [PViO] in order to find the optimal configuration. Optimizing the parameters allows reaching virtually any desired accuracy and bitrate, and thus we use it in our experiments to produce results at bitrates comparable to the ones achieved by competing algorithms.…”
Section: Methodsmentioning
confidence: 99%
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