Tight Frame Normal Map Compression - Graphics Hardware

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Tight Frame Encoding3Dce3DcTight FramePSNR5040302010015 30 45 75
c○ Association for Computing M· n c ), (3)Tight Frame Compressiongle between the uncomessedone (n c ).color images of the errenderimages with enpedsurfaces. For these,ilarity [WBSS04] quality• OBB is tighter than AABB• Store two point p & q• Enough to define localcoordinate frame e1, e2rithm, as it is easier to find a compact OBB tAABB (3Dc), or fix-rotation AABB (e3DC)for an illustration of the benefits of VPD.The flexibility of the OBB combined withtion of sample points (VPD) makes for a simerful algorithm which gives high quality comng example. • arbitrary Imagine rotation wep1, consisting mainly ofheightwidth• Store box aspect ratiosaligned, 3Dc will handlet axis-aligned • aspect bounding ratio = height/widthFigure 2: The coordinate system of our tight frtails. • If Variable the lines are Point rowillbe more spreadDistribution ing algorithm. stillout.works!e₂ ^e₁^q
Page 1: Tight Frame Normal MapCompressionJa
Page 4: Normal Maps• Add geometric detail
Page 7 and 8: Normal Map Generation• Store the
Page 9 and 10: Motivation• We need compression!I
Page 11 and 12: Previous Work• Surface normal com
Page 13 and 14: 3Dc Overview• Divide the input fi
Page 15 and 16: 3Dc - Texel Quantization• Map eac
Page 17 and 18: Problems with 3Dc• Difficult scen
Page 19 and 20: Rotation Compression• Rotate coor
Page 21 and 22: Variable Point Distribution3DcVaria
Page 23 and 24: Differential Encoding• Slowly var
Page 25: Tight Frame Compression• Example:
Page 29 and 30: Additional Mode• Unused bitcombin
Page 31 and 32: ely small compared to that of the s
Page 33 and 34: Evaluation• PSNR• Max error•
Page 35 and 36: deviation for the test suite. As ca
Page 37 and 38: ne-Möller Error / Tight distributi
Page 39 and 40: Original100 %3Dc93.3e3Dc95.7Tight F
Page 41 and 42: Conclusions• Higher quality than

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