Visibility in three-dimensional cluttered scenes
نویسندگان
چکیده
منابع مشابه
Visibility in three-dimensional cluttered scenes.
Three-dimensional (3D) cluttered scenes consist of a large number of small surfaces distributed randomly in a 3D view volume. The canonical example is the foliage of a tree or bush. 3D cluttered scenes are challenging for vision tasks such as object recognition and depth perception because most surfaces or objects are only partly visible. This paper examines the probabilities of surface visibil...
متن کاملSurface Visibility Probabilities in 3D Cluttered Scenes
Many methods for 3D reconstruction in computer vision rely on probability models, for example, Bayesian reasoning. Here we introduce a probability model of surface visibilities in densely cluttered 3D scenes. The scenes consist of a large number of small surfaces distributed randomly in a 3D view volume. An example is the leaves or branches on a tree. We derive probabilities for surface visibil...
متن کاملSurface color perception in three-dimensional scenes.
Researchers studying surface color perception have typically used stimuli that consist of a small number of matte patches (real or simulated) embedded in a plane perpendicular to the line of sight (a "Mondrian," Land & McCann, 1971). Reliable estimation of the color of a matte surface is a difficult if not impossible computational problem in such limited scenes (Maloney, 1999). In more realisti...
متن کاملCollision Detection in Cluttered Driving Scenes
The purpose of the present experiment was to examine whether drivers’ detection of collisions was altered when the driving scene was cluttered with scene objects. In this experiment stationary scene objects were manipulated by positioning them behind an approaching object and driver motion induced. We found that observers’ collision detection performance (d’) decreased with the presence of scen...
متن کاملLearning Human Face Detection in Cluttered Scenes
This paper presents an example-based learning approach for locating vertical frontal views of human faces in complex scenes. The technique models the distribution of human face patterns by means of a few view-based \face" and \non-face" prototype clusters. A 2-Value metric is proposed for computing distance features between test patterns and the distribution-based face model during classiicatio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Optical Society of America A
سال: 2012
ISSN: 1084-7529,1520-8532
DOI: 10.1364/josaa.29.001794