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. Computation of Texture and Stereoscopic Depth in Humans

Computation of Texture and Stereoscopic Depth in Humans

Thumbnail Image
Download
Name

AIM-1208.pdf

Size

2.67 MB

Format

Adobe PDF

Checksum (MD5)

9f124f34d70528b2f0e4174d50a44eea

Thumbnail Image
Download
Name

AIM-1208.ps

Size

3.34 MB

Format

PostScript

Checksum (MD5)

0af7240600c41170d2bcf8b958369f3c

Author(s)
Fahle, Manfred
•
Troscianko, Tom
Date Issued
October 1, 1989
Series/Report no.
AIM-1208
Abstract
The computation of texture and of stereoscopic depth is limited by a number of factors in the design of the optical front-end and subsequent processing stages in humans and machines. A number of limiting factors in the human visual system, such as resolution of the optics and opto-electronic interface, contrast, luminance, temporal resolution and eccentricity are reviewed and evaluated concerning their relevance for the recognition of texture and stereoscopic depth. The algorithms used by the human brain to discriminate between textures and to compute stereoscopic depth are very fast and efficient. Their study might be beneficial for the development of better algorithms in machine vision.
Subjects
limiting of factors
resolution
stereo-vision
spsychophysics
review
Persistent DSpace Link
http://hdl.handle.net/1721.1/6002
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.