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It’s a 3D World, After All Alyosha Efros CMU.

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Presentation on theme: "It’s a 3D World, After All Alyosha Efros CMU."— Presentation transcript:

1 It’s a 3D World, After All Alyosha Efros CMU

2 The sad and miserable life of an object detector…

3 People Detection in the Middle Ages
The Empress Theodora with her court. Ravenna, St. Vitale 6th c.

4 Multiscale processing
Nuns in Procession. French ms. ca

5 Many Object Categories
San Vitale basilica, Ravenna, Inspired Evangelist

6 Occlusion, Pose Giotto, The Mourning of Christ, c.1305

7 Perspective North Doors (1424) East Doors (1452) Lorenzo Ghiberti
( )

8 Perspective gone wild Piero della Francesca, The Flagellation (c.1469)

9 Real World

10 Objects vs. Scenes

11 Scene Understanding (The Age of Titans)
Guzman (SEE), 1968 Hansen & Riseman (VISIONS), 1978 Barrow & Tenenbaum 1978 Brooks (ACRONYM), 1979 Marr (2 ½ D sketch), 1982 Ohta & Kanade, 1978

12 What Went Wrong? (The Age of Titans)

13 Learning Geometry Torralba & Oliva, 2001

14 Learning Geometry Hoiem, Efros, Hebert, 2005 Andrew Ng et al, 2006

15 Automatic Photo Pop-up
Original Image Geometric Labels Fit Segments Cut and Fold Novel View

16 The World Behind the Image
When people see an image, they see not a plane with patterns of color and texture, but the world behind the image (show video). We want to give computers this same capability – the ability to automatically get a 3D model from a single image, such as this…. Automatic Photo Pop-up, SIGGRAPH’05

17 Parsing Whole Scene

18 Scene

19 Objects and Scenes Biederman’s violations (1981):

20 Probability, position (2D)
Torralba et al

21 Size Torralba et al

22 Position (3D) Saddeth, Torralba, Freeman, Wilsky, 2006

23 Support, Size 2 ? 3 ? 1 ?

24 Improving Object Detection

25 Improving Object Detection

26 Improving Object Detection

27 Improving Object Detection

28 Hoiem, Efros, Hebert, 2006

29 Qualitative Results

30 Top View

31 Interposition, Depth Layers

32 Discussion Questions 1. Can we inject 3D knowledge into appearance-based methods? 2. Should we build datasets supporting 3D shape? 3. Where does segmentation come in? 4. Is 3D scene modeling necessary? 5. Is explicit 3D (e.g. top-down view) necessary? 6. Is depth layer extraction the right problem? How to approach it?


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