4.11.2.4 Reflections and Color Models, Reflectance

Chapter Contents (Back)
Reflections. Color Models.
See also Reflectance Computations, Albedo.
See also Reflection Removal.

Klinker, G.J.[Gudrun J.], Shafer, S.A.[Steven A.], Kanade, T.[Takeo],
The measurement of highlights in color images,
IJCV(2), No. 1, June 1988, pp. 7-32.
Springer DOI
HTML Version. BibRef 8806
And:
Image Segmentation and Reflection Analysis Through Color,
DARPA88(838-853). BibRef
Earlier:
Using a Color Reflection Model to Separate Highlights from Object Color,
ICCV87(145-150). BibRef
And: DARPA87(614-619) with color enclosures. BibRef
And:
Color Image Analysis with an Intrinsic Reflection Model,
ICCV88(292-296).
IEEE DOI Segmentation, Color. Do the color calibration using the highlights, then map the colors to the real color and easily segment. Continuing Shafer's work in color and calibrated imaging.
See also Physical Approach to Color Image Understanding, A. BibRef

Ikeuchi, K.,
Surface Reflection Mechanism,
HPRIP-CV94(131-160).
See also Surface Reflection: Physical and Geometrical Perspectives. BibRef 9400

Nayar, S.K.[Shree K.], Bolle, R.M.[Ruud M.],
Reflectance Based Object Recognition,
IJCV(17), No. 3, March 1996, pp. 219-240.
Springer DOI BibRef 9603
Earlier:
Object Recognition Based on Reflectance and Geometry,
SPIE(2031), 1993, pp. 328-342. BibRef

Nayar, S.K.[Shree K.], Bolle, R.M.[Ruud M.],
Computing Reflectance Ratios from an Image,
PR(26), No. 10, October 1993, pp. 1529-1542.
Elsevier DOI BibRef 9310
And:
Reflectance Ratio: A Photometric Invariant for Object Recognition,
ICCV93(280-285).
IEEE DOI BibRef
And:
Reflectance Based Recognition,
DARPA93(867-872). Recognnition using region values and reflectance invariants. BibRef

Nayar, S.K., and Gong, Y.,
Colored Interreflections and Shape Recovery,
DARPA92(333-343). Reflections cause different colors. Albedo comes out >1.0 due to reflections. BibRef 9200

Tominaga, S.,
Surface Identification Using the Dichromatic Reflection Model,
PAMI(13), No. 7, July 1991, pp. 658-670.
IEEE DOI BibRef 9107
Earlier:
A color classification method for color images using a uniform color space,
ICPR90(I: 803-807).
IEEE DOI 9006
Analysis of reflections from specular and diffuse reflections. BibRef

Lee, H.C., Breneman, E.J., and Schulte, C.P.,
Modeling Light Reflection for Computer Color Vision,
PAMI(12), No. 4, April 1990, pp. 402-409.
IEEE DOI How does it compare to Shafer's work? BibRef 9004

Xia, M.Y., Chan, C.H., Li, S.Q.[Shu-Qing], Hu, J.L.[Jin-Lin], Tsang, L.[Leung],
Wavelet-based simulations of electromagnetic scattering from large-scale two-dimensional perfectly conducting random rough surfaces,
GeoRS(39), No. 4, April 2001, pp. 718-725.
IEEE Top Reference. 0105
BibRef

Sakurai, M.[Masato], Ayama, M.[Miyoshi], Kumagai, T.[Takeshi],
Color Appearance in the Entire Visual Field: Color Zone Map Based on the Unique Hue Component,
JOSA-A(20), No. 11, November 2003, pp. 1997-2009.
WWW Link. 0311
BibRef

Xin, J.H.[John H.], Shen, H.L.[Hui-Liang],
Accurate color synthesis of three-dimensional objects in an image,
JOSA-A(21), No. 5, May 2004, pp. 713-723.
WWW Link. 0409
BibRef

Jylha, L., Sihvola, A.H.,
Numerical Modeling of Disordered Mixture Using Pseudorandom Simulations,
GeoRS(43), No. 1, January 2005, pp. 59-64.
IEEE Abstract. 0501
Electrostatic effective permittivity of samples of three-dimensional random material consisting of equisized spheres is analyzed numerically. BibRef

Chandra, K.[Kartik], Healey, G.[Glenn],
Estimating visible through near-infrared spectral reflectance from a sensor radiance spectrum,
JOSA-A(21), No. 10, October 2004, pp. 1825-1833.
WWW Link. 0501
BibRef

Inamura, T.[Taisuke], Shioiri, S.[Satoshi], Tsujimura, S.I.[Sei-Ichi], Yaguchi, H.[Hirohisa],
Nonlinear two-stage model for color discrimination,
JOSA-A(28), No. 4, April 2011, pp. 704-712.
WWW Link. 1104
Extend 2 stage color to wider conditions. See:
See also Chromatic contrast discrimination: Data and prediction for stimuli varying in L and M cone excitation. BibRef

MacDonald, L.W.,
Fatal Flaws: Uncertainty in the Interpretation of Colour in CCTV Images,
BMVA(2007), No. 7, 2007, pp. 1-11.
PDF File. 1209
BibRef

Conte, D., Foggia, P., Percannella, G., Vento, M.,
Removing Object Reflections in Videos by Global Optimization,
CirSysVideo(22), No. 11, November 2012, pp. 1623-1633.
IEEE DOI 1211
BibRef

Sáez, A.[Aurora], Mendoza, C.S.[Carlos S.], Acha, B.[Begoña], Serrano, C.[Carmen],
Development and evaluation of perceptually adapted colour gradients,
IET-IPR(7), No. 4, 2013, pp. 355-363.
DOI Link 1307
Color space analysis. BibRef

Kong, N.J.[Nae-Jin], Tai, Y.W.[Yu-Wing], Shin, J.S.,
A Physically-Based Approach to Reflection Separation: From Physical Modeling to Constrained Optimization,
PAMI(36), No. 2, February 2014, pp. 209-221.
IEEE DOI 1402
Input consists of three polarized images, same position, differente polarizer angle. BibRef

Wan, R.J.[Ren-Jie], Shi, B.X.[Bo-Xin], Duan, L.Y., Tan, A.H., Gao, W., Kot, A.C.[Alex C.],
Region-Aware Reflection Removal With Unified Content and Gradient Priors,
IP(27), No. 6, June 2018, pp. 2927-2941.
IEEE DOI 1804
BibRef
Earlier: A1, A2, A3, A4, A6, Only:
Benchmarking Single-Image Reflection Removal Algorithms,
ICCV17(3942-3950)
IEEE DOI 1802
Cameras, Databases, Glass, Image restoration, Task analysis, Reflection removal, content prior, sparse representation. image processing, quantitative comparison, quantitative quality comparisons, Visualization BibRef

Wan, R.J.[Ren-Jie], Shi, B.X.[Bo-Xin], Li, H.L.[Hao-Liang], Hong, Y.C.[Yu-Chen], Duan, L.Y.[Ling-Yu], Kot, A.C.[Alex C.],
Benchmarking Single-Image Reflection Removal Algorithms,
PAMI(45), No. 2, February 2023, pp. 1424-1441.
IEEE DOI 2301
Reflection, Glass, Mathematical models, Cameras, Reflectivity, Deep learning, Benchmark testing, Reflection removal, deep learning BibRef

Heydecker, D., Maierhofer, G., Aviles-Rivero, A.I.[Angelica I.], Fan, Q., Chen, D., Schönlieb, C.B.[Carola-Bibiane], Süsstrunk, S.,
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All?: A Tailored Approach to Single Image Reflection Removal,
IP(28), No. 12, December 2019, pp. 6185-6197.
IEEE DOI 1909
Optimization, Image color analysis, Hardware, Laplace equations, Fans, Visualization, Glass, Reflection suppression, optical reflection BibRef

Wang, C.[Ce], Shi, B.X.[Bo-Xin], Duan, L.Y.[Ling-Yu],
Learning to remove reflections from windshield images,
SP:IC(78), 2019, pp. 94-102.
Elsevier DOI 1909
Reflection removal, Windshield image, Depth of field, Surveillance BibRef

Tang, C.M.[Chun-Ming], Sun, R.Y.[Rui-Yu], Chen, C.K.[Chun-Kai],
Reflection removal on the windshield during nighttime driving,
SIViP(14), No. 6, September 2020, pp. 1153-1161.
WWW Link. 2008
BibRef

Wang, C.[Ce], Xu, D.[Dejia], Wan, R.J.[Ren-Jie], He, B.[Bin], Shi, B.X.[Bo-Xin], Duan, L.Y.[Ling-Yu],
Background Scene Recovery From an Image Looking Through Colored Glass,
MultMed(25), 2023, pp. 2876-2887.
IEEE DOI 2307
Glass, Image color analysis, Degradation, Mathematical models, Color, Absorption, Propagation losses, Image restoration, colored glass BibRef


Saint-Pierre, D.[Dorian], Simonot, L.[Lionel], Hébert, M.[Mathieu],
Reflectance Computation for a Specular Only V-Cavity,
CCIW19(289-303).
Springer DOI 1905
BibRef

Sugimoto, T., Fujimori, K., Shirai, K., Miyao, H., Maruyama, M.,
Principal noiseless color component extraction by linear color composition with optimal coefficients,
ICIP17(3495-3499)
IEEE DOI 1803
Colored noise, Covariance matrices, Image color analysis, Minimization, Noise measurement, Principal component analysis, TV, total variation BibRef

Nandoriya, A., Elgharib, M., Kim, C., Hefeeda, M., Matusik, W.,
Video Reflection Removal Through Spatio-Temporal Optimization,
ICCV17(2430-2438)
IEEE DOI 1802
image motion analysis, image restoration, image sequences, iterative methods, optimisation, spatiotemporal phenomena, Tracking BibRef

Fan, Q., Yang, J., Hua, G., Chen, B., Wipf, D.,
A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing,
ICCV17(3258-3267)
IEEE DOI 1802
convolution, edge detection, image reconstruction, neural nets, cascaded convolutional layers, Training BibRef

Wan, R., Shi, B., Hwee, T.A., Kot, A.C.,
Depth of field guided reflection removal,
ICIP16(21-25)
IEEE DOI 1610
Erbium BibRef

Marcinkiewicz, B.[Blazej], Raczkowski, J.[Jacek],
Multiple Scattering in Cumulus Clouds,
ICCVG14(49-56).
Springer DOI 1410
BibRef

Bianco, S.[Simone], Citrolo, A.G.[Andrea G.],
High Contrast Color Sets under Multiple Illuminants,
CCIW13(133-142).
Springer DOI 1304
are the colors different to people with different illuminations. BibRef

Bärz, J.[Jakob], Hansen, T.[Tina], Müller, S.[Stefan],
Reconstruction of Spectra Using Empirical Basis Functions,
ISVC10(I: 582-591).
Springer DOI 1011
Image sysnthesis. Reconstruct from 3 color info. BibRef

Fujiwara, H.[Hisanaga],
Intrinsic Color Acquisition By Active Color Lighting,
MVA09(459-).
PDF File. 0905
BibRef

Terado, I.[Ikuo], Tachino, R.[Ryuuya], Kenmochi, Y.[Yukiko], Kotani, K.[Kazunori],
Reflection and Transparency Model of Rose Petals for Computer Graphics based on the Micro-Scopic Scale Structures,
ICIP99(III:593-596).
IEEE DOI BibRef 9900

Pitié, F.[François], Kokaram, A.C.[Anil C.], Dahyot, R.[Rozenn],
N-Dimensional Probablility Density Function Transfer and its Application to Colour Transfer,
ICCV05(II: 1434-1439).
IEEE DOI 0510
BibRef

Jang, Y.,
Identification of Interreflection in Color Images Using a Physics-Based Reflection Model,
CVPR91(632-637).
IEEE DOI BibRef 9100

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Color Correction .


Last update:Nov 26, 2024 at 16:40:19