Results 111 to 120 of about 87,925 (157)
Some of the next articles are maybe not open access.
International Journal of Computer Vision, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Henning Zimmer +2 more
openaire +3 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Henning Zimmer +2 more
openaire +3 more sources
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Optical flow estimation in low-light conditions is a challenging task for existing methods and current optical flow datasets lack low-light samples. Even if the dark images are enhanced before estimation, which could achieve great visual perception, it still leads to suboptimal optical flow results because information like motion consistency may be ...
Mingfang Zhang 0002 +2 more
openaire +4 more sources
Optical flow estimation in low-light conditions is a challenging task for existing methods and current optical flow datasets lack low-light samples. Even if the dark images are enhanced before estimation, which could achieve great visual perception, it still leads to suboptimal optical flow results because information like motion consistency may be ...
Mingfang Zhang 0002 +2 more
openaire +4 more sources
CVGIP: Image Understanding, 1991
Summary: We analyze curves in motion, be they edges, isobrightness curves, or silhouette contours. They curves are perspectively projected from opaque 3D scene surfaces in rigid or nonrigid motion. First, assume that we only know velocity components normal to the curves (so-called normal flow), except for a few (fewer than 4) velocity estimates at ...
Fredrik Bergholm, Stefan Carlsson
openaire +2 more sources
Summary: We analyze curves in motion, be they edges, isobrightness curves, or silhouette contours. They curves are perspectively projected from opaque 3D scene surfaces in rigid or nonrigid motion. First, assume that we only know velocity components normal to the curves (so-called normal flow), except for a few (fewer than 4) velocity estimates at ...
Fredrik Bergholm, Stefan Carlsson
openaire +2 more sources
The Statistics of Optical Flow
Computer Vision and Image Understanding, 2001Summary: When processing image sequences some representation of image motion must be derived as a first stage. The most often used representation is the optical flow field, which is a set of velocity measurements of image patterns. It is well known that it is very difficult to estimate accurate optical flow at locations in an image which correspond to ...
Cornelia Fermüller +2 more
openaire +2 more sources
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition, 2003
A new navigation method based on measurements of image token positions and Kalman filtering is presented. An image token is the central projection of a landmark, a point on the terrain surface. This surface being described by a topographical map, the Kalman filter processes the measurements to update estimates of camera position and orientation, and ...
Espen Hagen, Eilert Heyerdahl
openaire +1 more source
A new navigation method based on measurements of image token positions and Kalman filtering is presented. An image token is the central projection of a landmark, a point on the terrain surface. This surface being described by a topographical map, the Kalman filter processes the measurements to update estimates of camera position and orientation, and ...
Espen Hagen, Eilert Heyerdahl
openaire +1 more source
2012 Ninth Conference on Computer and Robot Vision, 2012
We implement and quantitatively/qualitatively evaluate two optical flow methods that model occlusion. The Yuan et al. method \cite{Yuan-et-al-2006} improves on the Horn and Schunck optical flow method at occlusion boundaries by using a dynamic coefficient (the Lagrange multiplier $\alpha$) at each pixel that weighs the smoothness constraint relative to
Jieyu Zhang, John L. Barron
openaire +2 more sources
We implement and quantitatively/qualitatively evaluate two optical flow methods that model occlusion. The Yuan et al. method \cite{Yuan-et-al-2006} improves on the Horn and Schunck optical flow method at occlusion boundaries by using a dynamic coefficient (the Lagrange multiplier $\alpha$) at each pixel that weighs the smoothness constraint relative to
Jieyu Zhang, John L. Barron
openaire +2 more sources
2007
One of the main technique used to recover motion analysis from two images or to register them is variational optical flow, where the pixels of one image are matched to the pixels of the second image by minimizing an energy functional. In the standard formulation of variational optical flow, the estimated motion vector field depends on the reference ...
Luis Álvarez 0001 +6 more
openaire +3 more sources
One of the main technique used to recover motion analysis from two images or to register them is variational optical flow, where the pixels of one image are matched to the pixels of the second image by minimizing an energy functional. In the standard formulation of variational optical flow, the estimated motion vector field depends on the reference ...
Luis Álvarez 0001 +6 more
openaire +3 more sources
1990
The analysis of time-varying image sequences is a classical problem of machine vision (Aggarwal & Nandhakumar, 1988; Ullman, 1979), but is likely to be very useful in robotics, passive navigation and several other fields. Two major approaches have been proposed for the analysis of image sequences: one based on differential techniques aims at computing ...
De Micheli Enrico +3 more
openaire +3 more sources
The analysis of time-varying image sequences is a classical problem of machine vision (Aggarwal & Nandhakumar, 1988; Ullman, 1979), but is likely to be very useful in robotics, passive navigation and several other fields. Two major approaches have been proposed for the analysis of image sequences: one based on differential techniques aims at computing ...
De Micheli Enrico +3 more
openaire +3 more sources
Computer Graphics Forum, 1998
This paper proposes a new approach to image‐based rendering that generates an image viewed from an arbitrary camera position and orientation by rendering optical flows extracted from reference images. To derive valid optical flows, we develop an analysis technique that improves the quality of stereo matching.
Park, TJ +2 more
openaire +3 more sources
This paper proposes a new approach to image‐based rendering that generates an image viewed from an arbitrary camera position and orientation by rendering optical flows extracted from reference images. To derive valid optical flows, we develop an analysis technique that improves the quality of stereo matching.
Park, TJ +2 more
openaire +3 more sources
SIAM Journal on Control and Optimization, 2005
The author considers the optical flow equation \[ \frac{\partial }{\partial t}I+V\cdot\nabla I=0,\quad I(0)=I_0 \tag{1} \] in \([0,T]\times \Omega\), \(\Omega\in \mathbb{R}^d\), and given a target image \(I_1\) at \(T\) he finds \(V\) such that \(I(T)=I_1\).
openaire +3 more sources
The author considers the optical flow equation \[ \frac{\partial }{\partial t}I+V\cdot\nabla I=0,\quad I(0)=I_0 \tag{1} \] in \([0,T]\times \Omega\), \(\Omega\in \mathbb{R}^d\), and given a target image \(I_1\) at \(T\) he finds \(V\) such that \(I(T)=I_1\).
openaire +3 more sources