lecture3 - EECS 442 Computer vision Cameras without cameras...

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EECS 442 – Computer vision Cameras without cameras we wouldn’t have C.V. / • Pinhole cameras • The geometry of pinhole cameras • Other camera models Reading: [FP] Chapters 1 – 3 [HZ] Chapter 6 Some slides in this lecture are courtesy to Profs. J. Ponce, S. Seitz, F-F Li
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EECS 442 – Computer vision Cameras without cameras we wouldn’t have C.V. / • Pinhole cameras • The geometry of pinhole cameras • Other camera models Reading: [FP] Chapters 1 – 2 [HZ] Chapter 6 Some slides in this lecture are courtesy to Profs. J. Ponce, S. Seitz, F-F Li
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How do we see the world? • Let’s design a camera – Idea 1: put a piece of film in front of an object – Do we get a reasonable image? object film
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Pinhole camera • Add a barrier to block off most of the rays – This reduces blurring – The opening known as the aperture object film barrier
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Pinhole perspective projection Pinhole camera f f = focal length c = center of the camera c
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Milestones: • Leonardo da Vinci (1452-1519): first record of camera obscura Some history…
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Milestones: • Leonardo da Vinci (1452-1519): first record of camera obscura • Johann Zahn (1685): first portable camera Some history…
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Photography (Niepce, “La Table Servie,” 1822) Milestones: • Leonardo da Vinci (1452-1519): first record of camera obscura • Johann Zahn (1685): first portable camera • Joseph Nicephore Niepce (1822): first photo - birth of photography Some history…
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Photography (Niepce, “La Table Servie,” 1822) Milestones: • Leonardo da Vinci (1452-1519): first record of camera obscura • Johann Zahn (1685): first portable camera • Joseph Nicephore Niepce (1822): first photo - birth of photography Daguerréotypes (1839) • Photographic Film (Eastman, 1889) • Cinema (Lumière Brothers, 1895) • Color Photography (Lumière Brothers, 1908) Some history…
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Let’s also not forget… Motzu (468-376 BC) Aristotle (384-322 BC) Ibn al-Haitham (965-1040)
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= = z y f ' y z x f ' x = y x P = z y x P Pinhole camera Derived using similar triangles
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O P = [x, z] P’=[x’, f] f z x f x = x Pinhole camera z
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This note was uploaded on 10/26/2010 for the course EECS 442 taught by Professor Savarese during the Fall '09 term at University of Michigan.

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lecture3 - EECS 442 Computer vision Cameras without cameras...

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