• Home

  • Documents

  • Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the...
20
09 Shadow Mapping Steve Marschner CS5625 Spring 2015 Thanks to previous instructor Kavita Bala

Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

Embed Size (px)

Citation preview

Page 1: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

09 Shadow Mapping

Steve Marschner CS5625 Spring 2015Thanks to previous instructor Kavita Bala

Page 2: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want
Page 3: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

Mark Kilgard

Page 4: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

Mark Kilgard

Page 5: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

slide courtesy of Kavita Bala, Cornell University

Shadow Map Issues

• if A and B are approximately equal?

• Speckling

Page 6: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

Mark Kilgard

Page 7: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

open

gl-tu

toria

l.org

first try at shadow mapping

Page 8: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

Mar

k Ki

lgar

d

not enough shadow bias good shadow bias too much shadow bias

Page 9: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

open

gl-tu

toria

l.org

shadow mapping with constant bias

Page 10: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

open

gl-tu

toria

l.org

shadow mapping with slope-dependent bias

Page 11: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

open

gl-tu

toria

l.org

closed surfaces and slope-dependent bias

Page 12: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

open

gl-tu

toria

l.org

adding percentage-closer filtering

Page 13: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

Shadow map sample rate—bad case

Light behind object

Light’s “view direction” almostopposite the eye’s viewdirection

“Dueling frusta”

Mar

k Ki

lgar

d

eye view light view

Page 14: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

Filtering shadow maps

Shadow map lookups cause aliasing, need filtering

As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong

We want to filter the output, not the input, of the shadow test • what fraction of samples pass the test• samples pass the test if they are closer than the shadow map depth• therefore “percentage closer filtering” or PCF

Page 15: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

Kavita Bala, Computer Science, Cornell University

Percentage Closer Filtering• Soften the shadow to decrease aliasing

– Reeves, Salesin, Cook 87– GPU Gems, Chapter 11

Page 16: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

Kavita Bala, Computer Science, Cornell University

Page 17: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

Kavita Bala, Computer Science, Cornell University

1 sample SM

Page 18: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

Kavita Bala, Computer Science, Cornell University

4 sample PCF

Page 19: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

Kavita Bala, Computer Science, Cornell University

16 sample PCF

Page 20: Shadow Mapping - Cornell University · As with normal maps, pixel is a nonlinear function of the shadow depth • this means applying a linear filter to the depth is wrong We want

Kavita Bala, Computer Science, Cornell University


Tunable mechanical filter for longitudinal vibrations

Tunable mechanical filter for longitudinal vibrations

Documents
Robust Soft Shadow Mapping with Backprojection and Depth …stevec/papers/jgt08.pdf · Robust Soft Shadow Mapping with Backprojection and Depth Peeling Louis Bavoil, Steven P. Callahan,

Robust Soft Shadow Mapping with Backprojection and Depth …stevec/papers/jgt08.pdf · Robust Soft Shadow Mapping with Backprojection and Depth Peeling Louis Bavoil, Steven P. Callahan,

Documents
Depth Enhancement via Low-rank Matrix Completion · Similar to depth map completion, joint bilateral filter-based methods have been employed to make use of color images for depth

Depth Enhancement via Low-rank Matrix Completion · Similar to depth map completion, joint bilateral filter-based methods have been employed to make use of color images for depth

Documents
Introduction to Robotics Mobile Robotics · 2020-01-09 · Robotics Mobile Robotics State estimation, Bayes filter, odometry, particle filter, Kalman filter, SLAM, joint Bayes

Introduction to Robotics Mobile Robotics · 2020-01-09 · Robotics Mobile Robotics State estimation, Bayes filter, odometry, particle filter, Kalman filter, SLAM, joint Bayes

Documents
Here’s modern color with depth and dimension. Using chic ......behindthechair.com classroom | Redken shadow effects Here’s modern color with depth and dimension. Using new Redken

Here’s modern color with depth and dimension. Using chic ......behindthechair.com classroom | Redken shadow effects Here’s modern color with depth and dimension. Using new Redken

Documents
SHADOW BANKING vs SHADOW MARKET

SHADOW BANKING vs SHADOW MARKET

Documents
Shadows Real-Time · 2017. 3. 31. · •Shadow Volumes Shadow Maps •In Renderman –(High-end production software) Shadow Mapping •Texture mapping with depth information •Requires

Shadows Real-Time · 2017. 3. 31. · •Shadow Volumes Shadow Maps •In Renderman –(High-end production software) Shadow Mapping •Texture mapping with depth information •Requires

Documents
MaskConnect: Connectivity Learning by Gradient Descent · 2 Karim Ahmed, Lorenzo Torresani empirical study of how depth, filter sizes, number of feature maps, and choice of nonlinearities

MaskConnect: Connectivity Learning by Gradient Descent · 2 Karim Ahmed, Lorenzo Torresani empirical study of how depth, filter sizes, number of feature maps, and choice of nonlinearities

Documents
BECO depth filter sheets - bhftechnologies.com.aubhftechnologies.com.au/wp-content/.../12/Eaton-BECO-Depth-Filter-Sheets... · BECO depth filter sheets Eaton offers the right depth

BECO depth filter sheets - bhftechnologies.com.aubhftechnologies.com.au/wp-content/.../12/Eaton-BECO-Depth-Filter-Sheets... · BECO depth filter sheets Eaton offers the right depth

Documents
Terminal 3 East Building Design - sfgov.org · 2) Increase depth of “eye brow” to increase shadow depth 3) Reduce number of vertical divisions in “eye brow” COMPOSITE METAL

Terminal 3 East Building Design - sfgov.org · 2) Increase depth of “eye brow” to increase shadow depth 3) Reduce number of vertical divisions in “eye brow” COMPOSITE METAL

Documents
Shadows - groups.csail.mit.edugroups.csail.mit.edu/graphics/classes/6.837/F02/... · Shadow maps • Use texture mapping but using depth • 2 passes (at least) – Compute shadow

Shadows - groups.csail.mit.edugroups.csail.mit.edu/graphics/classes/6.837/F02/... · Shadow maps • Use texture mapping but using depth • 2 passes (at least) – Compute shadow

Documents
arXiv:2001.05264v1 [eess.IV] 15 Jan 2020main such as Lee filter [1], Frost filter [2], Kuan filter [3], and Gamma-MAP filter [4]. Wavelet-based methods [5, 6] en-abled multi-resolution

arXiv:2001.05264v1 [eess.IV] 15 Jan 2020main such as Lee filter [1], Frost filter [2], Kuan filter [3], and Gamma-MAP filter [4]. Wavelet-based methods [5, 6] en-abled multi-resolution

Documents
roktiforatio ZEISS Axiolab 5 Versio 1 Das smarte Mikroskop ...€¦ · Color filter carrier 3x for filter d=32 mm 428305-0000-000 Polarizer, rotatable, with color filter carrier

roktiforatio ZEISS Axiolab 5 Versio 1 Das smarte Mikroskop ...€¦ · Color filter carrier 3x for filter d=32 mm 428305-0000-000 Polarizer, rotatable, with color filter carrier

Documents
Short Shadow, Long Shadow

Short Shadow, Long Shadow

Documents
Background Blurring Shadow 2008.10.07. Outline Introduction ◦ Camera-DSLR ◦ Depth of field Method ◦ Part I: object segmentation ◦ Part II: depth map ◦

Background Blurring Shadow 2008.10.07. Outline Introduction ◦ Camera-DSLR ◦ Depth of field Method ◦ Part I: object segmentation ◦ Part II: depth map ◦

Documents
Osmio Zero-IP-II Manual - Reverse Osmosis at Osmio Water · 5.2.2 Replacement of the carbon filter, reverse osmosis filter and post filter - These filters need to be changed every

Osmio Zero-IP-II Manual - Reverse Osmosis at Osmio Water · 5.2.2 Replacement of the carbon filter, reverse osmosis filter and post filter - These filters need to be changed every

Documents
Passive filter circuits

Passive filter circuits

Documents
CPW band-stop filter using unloaded and loaded EBG … papers...band-stop filters, low-pass filter and band-pass filter [2, 3], phase shifters [4], and antennas [5]. Examples of

CPW band-stop filter using unloaded and loaded EBG … papers...band-stop filters, low-pass filter and band-pass filter [2, 3], phase shifters [4], and antennas [5]. Examples of

Documents
Advanced Soft Shadow Mapping Techniques...Variance Shadow Maps!Consider depth values in the filter kernel as a depth distribution [Donnelly06] [Lauritzen07]!Approximate the depth values

Advanced Soft Shadow Mapping Techniques...Variance Shadow Maps!Consider depth values in the filter kernel as a depth distribution [Donnelly06] [Lauritzen07]!Approximate the depth values

Documents
Robotics Lecture Mobile Robotics - Uni Stuttgart · Robotics Mobile Robotics State estimation, Bayes filter, odometry, particle filter, Kalman filter, SLAM, joint Bayes filter,

Robotics Lecture Mobile Robotics - Uni Stuttgart · Robotics Mobile Robotics State estimation, Bayes filter, odometry, particle filter, Kalman filter, SLAM, joint Bayes filter,

Documents
Single Sample Soft Shadows using Depth Maps'graphicsinterface.org/wp-content/uploads/gi2002-25.pdf · 3 Soft Shadow Generation using Depth Maps 3.1 Single Sample Soft Shadows Parker

Single Sample Soft Shadows using Depth Maps'graphicsinterface.org/wp-content/uploads/gi2002-25.pdf · 3 Soft Shadow Generation using Depth Maps 3.1 Single Sample Soft Shadows Parker

Documents
3D Swing Trajectory of the Club Head from Depth Shadow

3D Swing Trajectory of the Club Head from Depth Shadow

Documents
Grafika v reálnom čase12 Shadow mapping • 1.pass - Render scene from light position – Render only depth buffer to texture – Depth buffer → shadow map – Shadow map holds

Grafika v reálnom čase12 Shadow mapping • 1.pass - Render scene from light position – Render only depth buffer to texture – Depth buffer → shadow map – Shadow map holds

Documents
Adding Depth to your Designs with the Shadow Tool · shadow to (in this case, the blue circle) and drag outside the object in the direction that you want the shadow to fall. This

Adding Depth to your Designs with the Shadow Tool · shadow to (in this case, the blue circle) and drag outside the object in the direction that you want the shadow to fall. This

Documents
High-Quality Adaptive Soft Shadow Mapping · High-Quality Adaptive Soft Shadow Mapping ... ette extraction, the latter requires only the fast and more generic acquisition of a depth

High-Quality Adaptive Soft Shadow Mapping · High-Quality Adaptive Soft Shadow Mapping ... ette extraction, the latter requires only the fast and more generic acquisition of a depth

Documents
Shadow Volume History (1) Shadow Volumescs5610/lectures/shadow_volumes2016.pdf · Shadow Volumes Shadow Volume History (1) ... – Reverses depth test function to ... zpass andzfail

Shadow Volume History (1) Shadow Volumescs5610/lectures/shadow_volumes2016.pdf · Shadow Volumes Shadow Volume History (1) ... – Reverses depth test function to ... zpass andzfail

Documents
Question and Answer Samples and Techniques. This artist used a combination of light and shadow to give his paintings depth

Question and Answer Samples and Techniques. This artist used a combination of light and shadow to give his paintings depth

Documents
DREAMS Tutorial – The particle filter

DREAMS Tutorial – The particle filter

Documents
Object Tracking by Reconstruction With View-Specific …€¦ · 2D object model View1 Correlation filter Color Depth View2 View3 3D object pre-image Position initialization & region

Object Tracking by Reconstruction With View-Specific …€¦ · 2D object model View1 Correlation filter Color Depth View2 View3 3D object pre-image Position initialization & region

Documents
Synthesizing 3D Shapes via Modeling Multi-View Depth Maps ...openaccess.thecvf.com/content_cvpr_2017/papers/Soltani_Synthesizing_3D... · ual block which use 3× as their filter

Synthesizing 3D Shapes via Modeling Multi-View Depth Maps ...openaccess.thecvf.com/content_cvpr_2017/papers/Soltani_Synthesizing_3D... · ual block which use 3× as their filter

Documents