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ICIP
2000
IEEE

The Role of Massive Color Quantization in Object Recognition

14 years 5 months ago
The Role of Massive Color Quantization in Object Recognition
Psychophysicalexperimentsinspire a more complete analysis of the effect of quantization on a modified version of the histogram indexing method of object recognition. We derivean equationthat describeshow the amount of quantization and number of featureskept affectsrecognitionaccuracy. The equation shows that quantizationfrom 224colors to 15 colors has a negligible effect on accuracy. A simulation shows that large numbers of objects cause a corresponding decrease in accuracy, but that keeping more features can increase the accuracy even for massive quantization. An object recognitionexperimentwith real data shows dramaticallybetter results when quantization is used, indicating that massive color quantizationcan providesome invariance to lightingconditions.
Signe Redfield, John G. Harris
Added 25 Oct 2009
Updated 25 Oct 2009
Type Conference
Year 2000
Where ICIP
Authors Signe Redfield, John G. Harris
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