Stochastic Level Set Dynamics to Track Closed Curves Through Image Data
نویسندگان
چکیده
منابع مشابه
Tracking Level Set Representation Driven by a Stochastic Dynamics
We introduce a non-linear stochastic filtering technique to track the state of a free curve from image data. The approach we propose is implemented through a particle filter, which includes color measurements characterizing the target and the background respectively. We design a continuous-time dynamics that allows us to infer inter-frame deformations. The curve is defined by an implicit level-...
متن کاملImage Divergence and Deformation from Closed Curves
This paper describes a novel method to measure the differential invariants of the image velocity field from the integral of normal image velocities around image contours. This is equivalent to measuring the temporal changes in the area of a closed contour. This avoids having to recover a dense image velocity field and taking partial derivatives. It also does not require point or line correspond...
متن کاملPupil Dilation Dynamics Track Attention to High-Level Information
It has long been thought that the eyes index the inner workings of the mind. Consistent with this intuition, empirical research has demonstrated that pupils dilate as a consequence of attentional effort. Recently, Smallwood et al. (2011) demonstrated that pupil dilations not only provide an index of overall attentional effort, but are time-locked to stimulus changes during attention (but not du...
متن کاملImage Filtering Driven by Level Curves
This paper presents an approach to image filtering that is driven by the properties of the iso-valued level curves of the image and their relationship with one another. We explore the relationship of our algorithm to existing probabilistically driven filtering methods such as those based on kernel density estimation, local-mode finding and meanshift. Extensive experimental results on filtering ...
متن کاملClosed Set Mining of Biological Data
"!# $ " ! &%(' )'* + , -" . 0/1 23 45 768 9-" :45 "!; ' <= > ? $6@ A B $C " C > D ' E )' F @ 9'# $6HG> . ( " I J' $ K L' :4 @GC K 7GC )68 $ 76M KN = O + " . "!"BP%L ;GC . 4 * '" Q ' R A 9 $ ! 0 ' S T . " , /J QG T $ K U ) ; $ V W X Y Z $ ) -> $ 0/[
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 Mathematical Imaging and Vision
سال: 2013
ISSN: 0924-9907,1573-7683
DOI: 10.1007/s10851-013-0464-1