Usability of Digital Cameras for Verifying Physically Based ...

More documents

Recommendations

Info

List of Figures 1 A schematic of the first Cornell Box setup [GTGB84]. . . . . . . 6 2 A photograph of the real cube [GTGB84]. . . . . . . . . . . . . . 7 3 Radiosity with linear interpolation [GTGB84]. . . . . . . . . . . . 8 4 Different types of images were used in the experiment [MCTG00]. 9 5 The positions of the 25 radiometric measurements [MRC + 86]. . . 12 6 Results of the test scene with white panels and a white box inside it [MRC + 86]. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 7 Points A to F were selected for measurements [TTOO90]. . . . . . 13 8 Top: A photograph of a car. Bottom: A rendered image of this car [TTOO90]. . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 9 A difference image of photograph and rendered image (see figure 8). 15 10 A comparison of a small section of the front part of the car (see figure 8). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 11 The sample points do not lie near edges [KP96]. . . . . . . . . . . 16 12 From top to bottom: a high quality rendering, a low quality rendering, and a photograph of the office scene [KP96]. . . . . . . . 17 13 (a) Left side: measured image. Right side: computed image; (b) scaled difference image of the luminance values of the images shown in (a) [PFTG97]. . . . . . . . . . . . . . . . . . . . . . . . 19 14 Six photocells were positioned in each room [Mar99]. . . . . . . . 21 15 Six scatterplots that compare the predicted and the measured illu- minances for each photocell [Mar99]. . . . . . . . . . . . . . . . 22 16 The left image shows a rendering of the atrium at the university of Aizu, while the right image shows a photograph of the real scene [DM01]. . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 17 Illuminance values measured with a luxmeter at sampled points on the floor of the atrium [DM01]. . . . . . . . . . . . . . . . . . 24 18 (a) The validation test box; (b) a schematic of the sensor guidance mechanism [SW04]. . . . . . . . . . . . . . . . . . . . . . . . . 25 19 (a) A schematic of the diffuse patch reflection test case; (b) Com- parison of the measured illuminance with the results of the photon map and Radiance [SW04]. . . . . . . . . . . . . . . . . . . . . . 26 ix
20 The CIE 1931 chromaticity diagram showing the wavelengths of light and the xy coordinates [cie06b]. . . . . . . . . . . . . . . . 34 21 Chromaticity diagrams showing the primaries and the white point of (a) sRGB [srg06] and (b) Adobe RGB [ado06]. . . . . . . . . . 37 22 A Bayer filter mosaic is a color filter array for arranging RGB color filters on a square grid of photosensors [bay06]. . . . . . . . 40 23 The RAW image data is converted to the final RGB value. . . . . . 41 24 The individual steps of color processing done by common digital cameras [raw06b]. . . . . . . . . . . . . . . . . . . . . . . . . . . 41 25 Rendering steps after the completion of the light transport simulation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 26 We can define a mapping from spectral values to RGB values. . . 44 27 The sensor plane marking on the camera was used as camera reference point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 28 The position of the camera and the color chart with the lower left corner of the front side of the light cabinet as reference point. . . . 48 29 The angle of the camera was set to 48 ◦ . . . . . . . . . . . . . . . 48 30 (a) ColorCheckerSG after correcting for distortion; (b) the sub- areas of the patches that were used for averaging (blue squares). . 49 31 Histogram of several exemplary distributions of pixel values in a patch. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 32 (a) Red, (b) green and (c) blue channel of a photograph of the color chart (without image averaging). . . . . . . . . . . . . . . . 52 33 A closeup view of the red channel of (a) a single image and (b) an averaged image. . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 34 Standard deviations for taking only one photograph and averaging either 2, 4, 8, 16 or 25 photographs. . . . . . . . . . . . . . . . . 53 35 Eighty measurement spots were definied on the bottom of the light cabinet. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 36 (a) Luminance difference distribution of D65 at 100%, (b) a photograph of the light cabinet made at approximately the same view point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 37 (a) Luminance difference distribution of D65 at 100%, (b) 50%, (c) 25% and (d) 15% with equal scaling on the luminance axes. . . 57 x
Page 1 and 2: DISSERTATION Usability of Digital C
Page 3 and 4: Kurzfassung Physically Based Render
Page 5 and 6: Acknowledgements I want to thank We
Page 7 and 8: 3 Colorimetry 32 3.1 Color Spaces .
Page 9: E.5 Treating the Camera as a Black
Page 13 and 14: 53 (a) Density plot for using the c
Page 15 and 16: List of Tables 1 Camera settings th
Page 17 and 18: 1 Introduction In recent years, a l
Page 19 and 20: 1.3 Applications of Physically Base
Page 21 and 22: matter are calculated in XYZ space.
Page 23 and 24: Figure 2: A photograph of the real
Page 25 and 26: (a) Photo (b) Default (c) 2 Bounces
Page 27 and 28: y a light source on top of the cube
Page 29 and 30: Figure 7: Points A to F were select
Page 31 and 32: Figure 9: A difference image of pho
Page 33 and 34: Figure 12: From top to bottom: a hi
Page 35 and 36: (a) Figure 13: (a) Left side: measu
Page 37 and 38: Figure 14: Six photocells were posi
Page 39 and 40: Figure 16: The left image shows a r
Page 41 and 42: (a) (b) Figure 18: (a) The validati
Page 43 and 44: shape of the caustic. 2.3 Analytica
Page 45 and 46: two test cases, but instead of the
Page 47 and 48: segments of the sphere and its actu
Page 49 and 50: of luminance [GJB80]. In XYZ color
Page 51 and 52: where L ∗ � � Y m = 903.3 Yn
Page 53 and 54: (a) (b) Figure 21: Chromaticity dia
Page 55 and 56: 4 Digital Cameras Pattanaik et al.
Page 57 and 58: Figure 23: The RAW image data is co
Page 59 and 60: 5 Physically Based Rendering System
Page 61 and 62:
see section 7.4. By avoiding XYZ sp
Page 63 and 64:
Figure 27: The sensor plane marking
Page 65 and 66:
(a) (b) Figure 30: (a) ColorChecker
Page 67 and 68:
available on MAC systems. We chose
Page 69 and 70:
(a) (b) (c) Figure 34: Standard dev
Page 71 and 72:
Figure 35: Eighty measurement spots
Page 73 and 74:
(a) (b) (c) (d) Figure 37: (a) Lumi
Page 75 and 76:
(a) (b) Figure 40: (a) Luminance di
Page 77 and 78:
i \ j 0 1 2 3 4 5 6 7 8 9 10 11 12
Page 79 and 80:
(a) (b) (c) (d) Figure 43: (a) Lumi
Page 81 and 82:
(a) (b) Figure 46: Standard deviati
Page 83 and 84:
(a) (b) Figure 49: (a) The measurem
Page 85 and 86:
of each patch using a spectrophotom
Page 87 and 88:
Figure 51: L ∗ a ∗ b ∗ differ
Page 89 and 90:
(a) (b) Figure 53: (a) Density plot
Page 91 and 92:
(a) (b) (c) Figure 55: Histograms o
Page 93 and 94:
Using an ICC profile obviously impr
Page 95 and 96:
(a) (b) (c) (d) Figure 58: Histogra
Page 97 and 98:
5 6 7 8 9 10 11 Min 0.50 0.49 0.13
Page 99 and 100:
in the light transport simulation o
Page 101 and 102:
the internal data of a camera and w
Page 103 and 104:
etter results: One can measure the
Page 105 and 106:
Figure 62: A Mathematica generated
Page 107 and 108:
their internal color space. This mi
Page 109 and 110:
Figure 66: Surface reflectance valu
Page 111 and 112:
as bad compared to other methods. S
Page 113 and 114:
in sufficient detail. The approach
Page 115 and 116:
A Radiometric and Photometric Quant
Page 117 and 118:
B.6 Goniophotometer A goniophotomet
Page 119 and 120:
C.3 Color Chart Figure 68: A Konica
Page 121 and 122:
D Web Resources of Validation Data
Page 123 and 124:
8 bit jpg 16 bit 29 11.58 11.52 11.
Page 125 and 126:
8 bit jpg 16 bit 91 17.21 17.11 17.
Page 127 and 128:
E.2 Using an ICC Profile 8 bit jpg
Page 129 and 130:
8 bit jpg 16 bit 62 16.10 16.08 16.
Page 131 and 132:
8 bit jpg 16 bit 124 11.08 10.89 11
Page 133 and 134:
1 2 3 4 31 9.10 3.61 4.26 5.96 32 8
Page 135 and 136:
1 2 3 4 93 6.25 4.11 4.05 8.69 94 4
Page 137 and 138:
E.4 Adaptive Mapping - Higher Order
Page 139 and 140:
5 6 7 8 9 10 11 62 3.42 2.52 2.51 2
Page 141 and 142:
5 6 7 8 9 10 11 124 2.10 2.14 2.96
Page 143 and 144:
R G B 31 -38.94 -25.49 29.26 32 -9.
Page 145 and 146:
R G B 93 103.86 109.28 55.06 94 31.
Page 147 and 148:
References [3dS06] 3D Studio Max: w
Page 149 and 150:
[HLR00] Guowei Hong, M. Ronnier Luo
Page 151 and 152:
Color Imaging Conference, pages 250
Page 153:
[VMKK00] V. Volevich, K. Myszkowski
show all

Usability of Digital Cameras for Verifying Physically Based ...

Create successful ePaper yourself

Delete template?

Save as template?