Image registration under small displacements is embodied in many image analysis tasks, such as optical flow estimation, stereoscopic imaging, or in photomechanics. A wide family of methods performs registration through local least-squares estimation of a parametric transformation. The present article is part of this approach. Its contribution is twofold. First, the estimated displacement is shown to be impaired by bias and uncertainty terms related to sensor noise, interpolation scheme needed to reach subpixel accuracy, image gradient distribution, as well as difference between the hypothesized parametric transformation and the true displacement. To this end, we generalize results from the literature on stereo-imaging, we reexamine the so-c...
Registration is a fundamental task in computer vision, and is often used as a preliminary step in di...
We address the theoretical problems of optical flow estimation and image registration in a multi-sca...
International audienceWe report on the main results of a collaborative work devoted to the study of ...
Image registration under small displacements is embodied in many image analysis tasks, such as optic...
International audienceImage registration under small displacements is the keystone of several image ...
Vision-based measurement techniques are often applied in experimental activities because of the poss...
International audienceThe aim of this collaborative work is to study the uncertainties associated wi...
The aim of this collaborative work is to study the uncertainties associated with Digital Image Corre...
Basic concepts in probability are employed to develop analytic formulae for both the expectation (bi...
We propose an efficient method for image registration based on iteratively fitting a parametric mode...
In this work, we explore the role of image-derived forces in an elastic image registration model, an...
© The Society for Experimental Mechanics, Inc. 2017. The full-field nature of stereo-digital image c...
The systematic error introduced when using 1-D peak detection algorithms to decompose elliptically s...
Digital image correlation (DIC) technique has been increasingly employed to implement surface deform...
Digital speckle photography is a displacement field measurement method that employs laser speckles a...
Registration is a fundamental task in computer vision, and is often used as a preliminary step in di...
We address the theoretical problems of optical flow estimation and image registration in a multi-sca...
International audienceWe report on the main results of a collaborative work devoted to the study of ...
Image registration under small displacements is embodied in many image analysis tasks, such as optic...
International audienceImage registration under small displacements is the keystone of several image ...
Vision-based measurement techniques are often applied in experimental activities because of the poss...
International audienceThe aim of this collaborative work is to study the uncertainties associated wi...
The aim of this collaborative work is to study the uncertainties associated with Digital Image Corre...
Basic concepts in probability are employed to develop analytic formulae for both the expectation (bi...
We propose an efficient method for image registration based on iteratively fitting a parametric mode...
In this work, we explore the role of image-derived forces in an elastic image registration model, an...
© The Society for Experimental Mechanics, Inc. 2017. The full-field nature of stereo-digital image c...
The systematic error introduced when using 1-D peak detection algorithms to decompose elliptically s...
Digital image correlation (DIC) technique has been increasingly employed to implement surface deform...
Digital speckle photography is a displacement field measurement method that employs laser speckles a...
Registration is a fundamental task in computer vision, and is often used as a preliminary step in di...
We address the theoretical problems of optical flow estimation and image registration in a multi-sca...
International audienceWe report on the main results of a collaborative work devoted to the study of ...