Variational methods for optic flow computation have the reputation of producing good results at the expense of being too slow for realtime applications. We show that real-time variational computation of optic flow fields is possible when appropriate methods are combined with modern numerical techniques. We consider the CLG method, a recent variational technique that combines the quality of the dense flow fields of the Horn and Schunck approach with the noise robustness of the Lucas-Kanade method. For the linear system of equations resulting from the discretised Euler-Lagrange equations, we present different multigrid schemes in detail. We show that under realistic accuracy requirements they are up to 247 times more efficient than the widely...
In this paper we investigate the usefulness of confidence measures for variational optic flow comput...
Non-quadratic variational regularization is a well known and powerful approach for the discontinuity...
Motion is an intrinsic character of the world and an inherent part of our visual experience, which g...
Variational methods are among the most accurate techniques for estimating the optic flow. They yield...
Abstract. Variational methods are very popular for optic flow computation: They yield dense flow fie...
The recovery of the displacement field between two consecutive frames of an image sequence - the so-...
In this paper, we suggest a variational model for optic flow computation based on non-linearised and...
Optic fow describes the displacement field in an image sequence. Its reliable computation constitute...
Nonquadratic variational regularization is a well-known and powerful approach for the discontinuity-...
Differential methods belong to the most widely used techniques for optic flow computation in image s...
Variational methods for optical flow estimation are known for their excellent performance. The metho...
International audienceThis article tackles the entire lifecycle of an algorithm: from its design to ...
Le travail présenté dans cette thèse porte sur l'estimation du flot optique par méthodes variationne...
The seminal work of Horn and Schunck is the first variational method for optical flow estimation. It...
We evaluate the performance of different optimization techniques developed in the context of optical...
In this paper we investigate the usefulness of confidence measures for variational optic flow comput...
Non-quadratic variational regularization is a well known and powerful approach for the discontinuity...
Motion is an intrinsic character of the world and an inherent part of our visual experience, which g...
Variational methods are among the most accurate techniques for estimating the optic flow. They yield...
Abstract. Variational methods are very popular for optic flow computation: They yield dense flow fie...
The recovery of the displacement field between two consecutive frames of an image sequence - the so-...
In this paper, we suggest a variational model for optic flow computation based on non-linearised and...
Optic fow describes the displacement field in an image sequence. Its reliable computation constitute...
Nonquadratic variational regularization is a well-known and powerful approach for the discontinuity-...
Differential methods belong to the most widely used techniques for optic flow computation in image s...
Variational methods for optical flow estimation are known for their excellent performance. The metho...
International audienceThis article tackles the entire lifecycle of an algorithm: from its design to ...
Le travail présenté dans cette thèse porte sur l'estimation du flot optique par méthodes variationne...
The seminal work of Horn and Schunck is the first variational method for optical flow estimation. It...
We evaluate the performance of different optimization techniques developed in the context of optical...
In this paper we investigate the usefulness of confidence measures for variational optic flow comput...
Non-quadratic variational regularization is a well known and powerful approach for the discontinuity...
Motion is an intrinsic character of the world and an inherent part of our visual experience, which g...