This paper presents a review, analysis and comparison of numerical methods implementing the curvature motion and the affine curvature motion for 2D images, shapes, and curves. These curvature scale spaces allow, in principle, to compute an accurate multiscale curvature in digital images. The fastest and most invariant of them can be used in a complete image processing chain. This numerical chai...

This paper presents an approach to multi-object image segmentation based on object motion using Markov Random Fields. To support the information gained from motion and to achieve robustness, several additional visual cues extracted from the image data are integrated. Depth information gained from stereo disparity is included to maintain segmentation in case an segmented object stops moving. Mot...

Identification of motion parameters is an important issue in image restoration of a linear motion blur. Based on the human visual-motion sensing properties, an integrated approach with some known image processing techniques is proposed to the estimation of the direction and extent of motion on a linear motion blurred image. Experimental results confirm the feasibility of our approach. key words...

General SFM methods give poor results for images captured by constrained motions such as planar motion. In this paper, we propose new SFM algorithms for images captured under a common but constrained planar motion: the image plane is perpendicular to the motion plane. We show that a 2D image captured under such constrained planar motion can be decoupled into two 1D images: one 1D projective and...

For the image quality analysis of photogrammetrical systems using the Modulation Transfer Function (MTF), the edge gradient analysis (EGA), using a Hanning function, and the grating pattern method are compared. Artificial edge and grating patterns were photographed from an airplane and were analyzed to determine the quality of the photogrammetric system. The pictures were scanned with a microde...

An approach for the modelling of complex 3D scenes like outdoor street views from a sequence of stereoscopic image pairs is presented. Starting with conventional stereoscopic correspondence analysis a 3D model scene with true 3D geometry is generated. Not only the scene geometry but also surface texture is stored within the model. 3D camera motion can be estimated directly from the image sequen...

Image registration finds a variety of application in computer vision, such as image matching for stereo vision, pattern recognition and motion analysis. This paper focuses on pyramid LK algorithm, which tracks starting from highest level of an image pyramid (lowest detail) and working down to lower levels (finer detail). Tracking over image pyramids allows track points of interest despite large...

This paper deals with the motion detection problem. This issue is of key importance in many application fields. To solve this problem, we compute the dominant motion in the sequence using a wavelet analysis and robust techniques. So, we obtain an estimation of the dominant motion on several image resolutions. This method permits to define a hierarchical Markov model in a natural way. Thanks to ...

Image blur caused by object motion attenuates high frequency content of images, making post-capture deblurring an ill-posed problem. The recoverable frequency band quickly becomes narrower for faster object motion as high frequencies are severely attenuated and virtually lost. This paper proposes to translate a camera sensor circularly about the optical axis during exposure, so that high freque...

An algorithm for estimating the three-dimensional motion of a human face from a monocular image sequence is investigated. For motion estimation, the shape of a human face is described by a three-dimensional rigid triangular mesh and its motion by six parameters: one three-dimensional translation vector and three rotation angles. The motion parameters are estimated by maximizing the conditional ...