منابع مشابه
Motion analysis by feature tracking
We have developed a two-stage model of motion perception that identifies moving spatial features and computes their velocity, achieving both high spatial localisation and reliable estimates of velocity. Features are detected in each frame by locating the peaks of the spatial local energy functions, as for stationary images (Morrone MC and Burr DC. Proc R Soc Lond 1988;B235:221-245.). The energy...
متن کاملSecond-order motion discrimination by feature-tracking
When a plaid pattern (the sum of two high spatial frequency gratings oriented +/- 84 degrees from vertical) jumps horizontally by 3/8 of its spatial period its contrast envelope, a second-order pattern, moves in the opposite direction to its luminance waveform. Observers report that the pattern moves in the direction of the contrast envelope when the jumps are repeated at intervals of more than...
متن کاملAnalysis and Synthesis of Facial Expressions by Feature-Points Tracking and Deformable Model
Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature points (FFP) in frontal image sequences. Selected facial feature poi...
متن کاملLandmark-based Feature Tracking for Endoscopic Motion Analysis
Automated image analysis and interpretation within computer assisted minimally invasive surgery (MIS) most often depend and rely on manually defined landmarks, visible in endoscopic views. More specific, within many types of applications, such landmarks must be tracked automatically during the intervention. Typical feature tracking approaches are able to track slightly changing landmarks over t...
متن کاملExtracting Facial Motion Parameters by Tracking Feature Points
A method for extracting facial motion parameters is proposed. The method consists of three steps. First, the feature points of the face, selected automatically in the rst frame, are tracked in successive frames. Then, the feature points are connected with Delaunay triangulation so that the motion of each point relative to the surrounding points can be computed. Finally, muscle motions are estim...
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ژورنال
عنوان ژورنال: Vision Research
سال: 1998
ISSN: 0042-6989
DOI: 10.1016/s0042-6989(98)00022-4