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Conference papers
Multispectral constancy based on spectral adaptation transform
Abstract : The spectral reflectance of an object surface provides the valuable information about its characteristics. Reflectance reconstruction is based on certain assumptions. One of these assumptions is that the same illumination is used for system calibration and the image acquisition. We propose multispectral constancy through spectral adaptation transform, which transforms the sensor data acquired under an unknown illumination to a generic illuminant-independent space, similar to the computational color constancy. Spectral reflectance is then estimated by using a generic linear calibration. Results of reflectance reconstruction using the proposed concept show that this concept is efficient, but highly sensitive to the accuracy of illuminant estimation.
Cited literature [17 references]
https://hal.archives-ouvertes.fr/hal-01672532
Contributor : Haris Ahmad Khan <>
Submitted on : Tuesday, December 26, 2017 - 7:35:13 AM
Last modification on : Monday, March 30, 2020 - 8:42:41 AM
Document(s) archivé(s) le : Tuesday, March 27, 2018 - 12:17:11 PM
Contributor : Haris Ahmad Khan <>
Submitted on : Tuesday, December 26, 2017 - 7:35:13 AM
Last modification on : Monday, March 30, 2020 - 8:42:41 AM
Document(s) archivé(s) le : Tuesday, March 27, 2018 - 12:17:11 PM
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