ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
The increasing availability of high resolution stereo images from Earth observation satellites ha... more The increasing availability of high resolution stereo images from Earth observation satellites has boosted the development of tools for producing 3D elevation models. The objective of these tools is to produce digital elevation models of very large areas with minimal human intervention. The development of these tools has been shaped by the constraints of the remote sensing acquisition, for example, using ad hoc stereo matching tools to deal with the pushbroom image geometry. However, this specialization has also created a gap with respect to the fields of computer vision and image processing, where these constraints are usually factored out. In this work we propose a fully automatic and modular stereo pipeline to produce digital elevation models from satellite images. The aim of this new pipeline, called <i>Satellite Stereo Pipeline</i> and abbreviated as <i>s2p</i>, is to use (and test) off-the-shelf computer vision tools while abstracting from the complexit...
ABSTRACT In the context of video editing, enforcing spatio-temporal consistency is an important i... more ABSTRACT In the context of video editing, enforcing spatio-temporal consistency is an important issue. With that purpose, the current variational models for gradient domain video editing include space and time regularization terms. The spatial terms are based on the usual space derivatives, the temporal ones are based on the convective derivative, and both are balanced by a parameter β. However, the usual discretizations of the convective derivative limit the value of β to a certain range, thus limiting these models from achieving their full potential. In this paper, we propose a new numerical scheme to compute the convective derivative, the deblurring convective derivative, which allows us to lift this constraint. Moreover, the proposed scheme introduces less errors than other discretization schemes without adding computational complexity. We use this scheme in the implementation of two gradient domain models for temporally consistent video editing, based on Poisson and total variation type formulations, respectively. We apply these models to three video editing tasks: inpainting correction, object insertion and object removal.
We propose a restoration algorithm for band limited images that considers irregular (perturbed) s... more We propose a restoration algorithm for band limited images that considers irregular (perturbed) sampling, denoising, and deconvolution. We explore the application of a family of regularizers that allow to control the spectral behavior of the solution combined with the irregular to regular sampling algorithms proposed by H.G. Feichtinger, K. Grochenig, M. Rauth and T. Strohmer. Moreover, the constraints given by the image acquisition model are incorporated as a set of local constraints. And the analysis of such constraints leads to an early stopping rule meant to improve the speed of the algorithm. Finally we present experiments focused to the restoration of satellite images, where the micro-vibrations are responsible of the type of distortions we are considering here. We will compare results of the proposed method with previous methods and show an extension to zoom.
This article describes an implementation of the optical flow estimation method introduced by Zach... more This article describes an implementation of the optical flow estimation method introduced by Zach, Pock and Bischof in 2007. This method is based on the minimization of a functional containing a data term using the L 1 norm and a regularization term using the total variation of the flow. The main feature of this formulation is that it allows discontinuities in the flow field, while being more robust to noise than the classical approach by Horn and Schunck. The algorithm is an efficient numerical scheme, which solves a relaxed version of the problem by alternate minimization.
Public reporting burden for the collection of information is estimated to average 1 hour per resp... more Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
The increasing availability of high resolution stereo images from Earth observation satellites ha... more The increasing availability of high resolution stereo images from Earth observation satellites has boosted the development of tools for producing 3D elevation models. The objective of these tools is to produce digital elevation models of very large areas with minimal human intervention. The development of these tools has been shaped by the constraints of the remote sensing acquisition, for example, using ad hoc stereo matching tools to deal with the pushbroom image geometry. However, this specialization has also created a gap with respect to the fields of computer vision and image processing, where these constraints are usually factored out. In this work we propose a fully automatic and modular stereo pipeline to produce digital elevation models from satellite images. The aim of this new pipeline, called <i>Satellite Stereo Pipeline</i> and abbreviated as <i>s2p</i>, is to use (and test) off-the-shelf computer vision tools while abstracting from the complexit...
ABSTRACT In the context of video editing, enforcing spatio-temporal consistency is an important i... more ABSTRACT In the context of video editing, enforcing spatio-temporal consistency is an important issue. With that purpose, the current variational models for gradient domain video editing include space and time regularization terms. The spatial terms are based on the usual space derivatives, the temporal ones are based on the convective derivative, and both are balanced by a parameter β. However, the usual discretizations of the convective derivative limit the value of β to a certain range, thus limiting these models from achieving their full potential. In this paper, we propose a new numerical scheme to compute the convective derivative, the deblurring convective derivative, which allows us to lift this constraint. Moreover, the proposed scheme introduces less errors than other discretization schemes without adding computational complexity. We use this scheme in the implementation of two gradient domain models for temporally consistent video editing, based on Poisson and total variation type formulations, respectively. We apply these models to three video editing tasks: inpainting correction, object insertion and object removal.
We propose a restoration algorithm for band limited images that considers irregular (perturbed) s... more We propose a restoration algorithm for band limited images that considers irregular (perturbed) sampling, denoising, and deconvolution. We explore the application of a family of regularizers that allow to control the spectral behavior of the solution combined with the irregular to regular sampling algorithms proposed by H.G. Feichtinger, K. Grochenig, M. Rauth and T. Strohmer. Moreover, the constraints given by the image acquisition model are incorporated as a set of local constraints. And the analysis of such constraints leads to an early stopping rule meant to improve the speed of the algorithm. Finally we present experiments focused to the restoration of satellite images, where the micro-vibrations are responsible of the type of distortions we are considering here. We will compare results of the proposed method with previous methods and show an extension to zoom.
This article describes an implementation of the optical flow estimation method introduced by Zach... more This article describes an implementation of the optical flow estimation method introduced by Zach, Pock and Bischof in 2007. This method is based on the minimization of a functional containing a data term using the L 1 norm and a regularization term using the total variation of the flow. The main feature of this formulation is that it allows discontinuities in the flow field, while being more robust to noise than the classical approach by Horn and Schunck. The algorithm is an efficient numerical scheme, which solves a relaxed version of the problem by alternate minimization.
Public reporting burden for the collection of information is estimated to average 1 hour per resp... more Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.
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Papers by G. Facciolo