Titlebook: Measurement of Image Velocity; David J. Fleet Book 1992 Springer Science+Business Media New York 1992 Interpolation.Optical flow.Tracking.

HEPA-filter

無(wú)關(guān)緊要

Time-Varying Image Formationges as a function of time and space. In other words, what do we expect the time-varying signal to look like? By examining this question we can begin to identify some of the major issues concerning the measurement of image velocity.

ONYM

Scale-Space Phase Singularitiester instability in that the phase contours are nearly horizontal and not vertical as desired. Because some geometric deformation is expected between left and right binocular views, or between frames of an image sequence, this instability, if not detected, is bound to cause poor measurements.

ENDOW

Introductioncture in much the same way as two views do in the context of stereopsis. It is thought to be important for passive aspects of scene interpretation and object recognition, as well as tasks required for active exploration.

sundowning

Velocity-Specific Representationch the same way as 1-d profiles can be oriented in space) they might therefore be detected using 3-d orientation-tuned filters. This intuition, in addition to the more formal analysis described in Chapter 3, leads to the design of . ..

Kernel

LATER

存心

Time-Varying Image Formationmage intensity. It is therefore natural to begin with a discussion of image formation, the ways in which properties of the world are manifested in images as a function of time and space. In other words, what do we expect the time-varying signal to look like? By examining this question we can begin t

athlete’s-foot

LINE

Velocity-Specific Representationon the particular approach, the main objectives of such filtering are noise reduction and/or the isolation of different types of image structure (e.g. zero-crossing contours, or different scales for coarse-fine analysis). More recently, it has been recognized that the filters themselves can be tuned