Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. Computer Science and Artificial Intelligence Lab (CSAIL)
  3. Artificial Intelligence Lab Publications
  4. AI Memos (1959 - 2004)
  5. Inferring 3D Shapes from 2D Codons

Inferring 3D Shapes from 2D Codons

Thumbnail Image
Download
Name

AIM-840.pdf

Size

2.33 MB

Format

Adobe PDF

Checksum (MD5)

07151d66c009ec836278d6f7eb06b351

Thumbnail Image
Download
Name

AIM-840.ps

Size

2.99 MB

Format

PostScript

Checksum (MD5)

32a0c82e66404a7120f169a1f252cef7

Author(s)
Richards, Whitman
•
Koenderink, Jan J.
•
Hoffman, D.D.
Date Issued
April 1, 1985
Series/Report no.
AIM-840
Abstract
All plane curves can be described at an abstract level by a sequence of five primitive elemental shapes, called "condons", which capture the sequential relations between the singular points of curvature. The condon description provides a basis for enumerating all smooth 2D curves. Let each of these smooth plane be considered as the si lhouette of an opaque 3D object. Clearly an in finity of 3D objects can generate any one of ou r "condon" silhouettes. How then can we p redict which 3D object corresponds to a g iven 2D silhouette? To restrict the infinity of choices, we impose three mathematical properties of smooth surfaces plus one simple viewing constraint. The constraint is an extension of the notion of general position, and seems to drive our preferred inferences of 3D shapes, given only the 2D contour.
Subjects
vision
recognition
visual representation
object perception
sfigure-ground
3-D shape
Persistent DSpace Link
http://hdl.handle.net/1721.1/5613
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.