1 / 24

Omnidirectional Vision

Omnidirectional Vision. CSC 59866CD Fall 2004. Lecture 6 Omnidirectional Cameras. Zhigang Zhu, NAC 8/203A http://www-cs.engr.ccny.cuny.edu/~zhu/ Capstone2004/Capstone_Sequence2004.html. Lecture Outline. Applications Robot navigation, Surveillance, Smart rooms

esteinman
Download Presentation

Omnidirectional Vision

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Omnidirectional Vision CSC 59866CD Fall 2004 Lecture 6 Omnidirectional Cameras Zhigang Zhu, NAC 8/203A http://www-cs.engr.ccny.cuny.edu/~zhu/ Capstone2004/Capstone_Sequence2004.html

  2. Lecture Outline • Applications • Robot navigation, Surveillance, Smart rooms • Video-conferencing/ Tele-presence • Multimedia/Visualization • Page of Omnidirectional Vision(Many universities and companies….) • http://www.cis.upenn.edu/~kostas/omni.html • Design Requirements • 360 degree FOV, or semi-sphere or full sphere in one snapshot • Single effective viewpoint • Image Resolutions – one or more cameras? • Image Sharpness – optics as well as geometry • Several Important Designs • Catadioptric imaging : mirror (reflection) + lens ( refraction) • Mirrors: Planar, Conic, Spherical, Hyperboloidal, Ellipsoidal, Paraboloidal • Systematic design ( S. Nayar’s group) • Calibrations • Harder or simpler?

  3. Sensor Design • Catadioptric imaging : • mirror (reflection) + lens ( refraction) • Theory of Catadioptric Image Formation ( S. Nayar’s group) • "A Theory of Single-Viewpoint Catadioptric Image Formation" , Simon Baker and Shree K. Nayar ,International Journal of Computer Vision, 1999. • Mirrors • Planar • Conic, Spherical • Hyperboloidal, Ellipsoidal • Paraboloidal • Cameras (Lens) • Perspective (pinhole) or orthogonal (tele-centric lens) projection • One or more? • Implementations • Compactness - size, support, and installation • Optics – Image sharpness, reflection, etc.

  4. Planar Mirror • Panoramic camera system using a pyramid with four (or more) planar mirrors and four (or more) cameras (Nalwa96) has a single effective viewpoint Mirror pyramid 6 cameras 4 camera design and 6 camera prototype: FullView - Lucent Technology http://www.fullview.com/

  5. Planar Mirror • Panoramic camera system using a pyramid with four (or more) planar mirrors and four (or more) cameras (Nalwa96) has a single effective viewpoint Geometry of 4 camera approach: four separate cameras in 4 viewpoints can generate images with a single effective viewpoint

  6. Planar Mirror Approach • A single effective viewpoint • More than one cameras • High image resolution

  7. Planar Mirror Approach • A single effective viewpoint • More than one cameras • High image resolution

  8. viewpoint pinhole Conic Mirror • Viewpoints on a circle • semispherical view except occlusion • Perspective projection in each direction • Robot Navigation (Yagi90, Zhu96/98)

  9. Intersection of incoming rays are along this line Locus of viewpoints Spherical Mirror • Viewpoints on a spherical-like surface • Easy to construct (Hong91 -UMass )

  10. viewpoint Rotation of the hyperbolic curve generates a hyperboloid P1 P2 pinhole Hyperboloidal Mirror • Single Viewpoint • if the pinhole of the real camera and the virtual viewpoint are located at the two loci of the hyperboloid • Semi-spherical view except the self occlusion

  11. Hyperboloidal Mirror • ACCOWLE Co., LTD, A Spin-off at Kyoto University • http://www.pluto.dti.ne.jp/~accowle1/ • Spherical Mirror • Hyperbolic Mirror Image: High res. in the top

  12. pinhole P2 P1 viewpoint Ellipsoidal Mirror • Single Viewpoint • if the pinhole of the real camera and the virtual viewpoint are located at the two loci of the ellipsoid • Semi-spherical view except the self occlusion

  13. B P1 Hyperboloidal mirror O P Ellipsoidal mirror pinhole C pp1 Panoramic Annular Lens - geometric mathematical model for image transform & calibration panoramic annular lens (PAL) - invented by P. Greguss * 40 mm in diameter, C-mount * view: H: 360, V: -15 ~ +20 * single view point (O)

  14. Panoramic Annular Lens • panoramic annular lens (PAL) • - invented by P. Greguss • * 40 mm in diameter, C-mount • * view: H: 360, V: -15 ~ +20 • single view point (O) • C-Mount to CCD Cameras Image: High res. In the bottom

  15. Cylindrical panoramic un-warping Two Steps: (1). Center determination (2) Distortion rectification 2-order polynomial approximation

  16. viewpoint P1 P2 tele-lens Paraboloidal Mirror • Semi-spherical view except the self occlusion • Single Viewpoint at the locus of the paraboloid, if • Tele-lens - orthographic projection is used • Mapping between image, mirror and the world invariant to translation of the mirror. This greatly simplifies calibration and the computation of perspective images from paraboloidal images

  17. Paraboloidal Mirror • Remote Reality – A Spin-off at Columbia University • http://www.remotereality.com/ Camcorder Web Camera Back to Back : Full Spherical View

  18. Paraboloidal Mirror • Remote Reality – A Spin-off at Columbia University • http://www.remotereality.com/

  19. Catadioptric Camera Calibration • Omnidirectional Camera Calibration – Harder or Easier? • In general, the reflection by the 2nd order surface makes the calibration procedure harder • However, 360 view may be helpful • Paraboloidal mirror + orthogonal projection • Mapping between image, mirror and the world invariant to translation of the mirror. • Projections of two sets of parallel lines suffice for intrinsic calibration from one view • C. Geyer and K. Daniilidis, "Catadioptric Camera calibration", In Proc. Int. Conf. on Computer Vision, Kerkyra, Greece, Sep. 22-25, pp. 398-404, 1999.

  20. Image Properties of Paraboloid System (Assuming aspect ratio = 1) • The Image of a Line • is a circular arc if the line is not parallel to the optical axis • Is projected on a (radial) line otherwise • Dual Vanishing Points • There are two VPs for each set of parallel lines, which are the intersections of the corresponding circles • Collinear Centers • The center of the circles for a set of parallel lines are collinear • Vanishing Circle • The vanishing points of lines with coplanar directions* lie on a circle ( all the lines parallel to a common plane)

  21. Image Properties of Paraboloid System (with aspect ratio) • The Image Center • Is on the (“vanishing”) line connecting the dual vanishing points of each set of parallel lines • Can be determined by two sets of parallel lines • Projection of a Line with unknown aspect ratio • Is an elliptical arc in the general case • The Aspect Ratio • Is determined by the ratio of the lone-short axes of the ellipse corresponding to a line • Intrinsic Calibration • Estimate aspect ratio by the ratio of ellipse • Estimate the image center by the intersection of vanishing lines of two sets of parallel lines in 3-D space

  22. Calibration of Paraboloid System • The Image Center • Is on the (“vanishing”) line connecting the dual vanishing points of each set of parallel lines • Can be determined by two sets of parallel lines

  23. Calibration of Paraboloid System • The Image Center • Yellow “vanishing” line of horizontal set of parallel lines • Pink “vanishing” line of vertical set of parallel lines • The Vanishing Circle (Red dotted) • The vanishing points of lines with coplanar directions ( on a plane in this example) Projected to the plane of the calibration pattern

  24. Next • Next: Features END

More Related