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We propose a new system for editing personal photo collections, inspired by search-and-replace editing for text. In our system, local edits specified by the user in a single photo (e.g., using the “clone brush” tool) can be propagated automatically to other photos in the same collection, by matching the edited region across photos. To achieve this, we build on tools from computer vision for image...
Stereo matching and volumetric reconstruction are the most explored 3D scene recovery techniques in computer vision. Many existing approaches assume perspective input images and use the epipolar constraint to reduce the search space and improve the accuracy. In this paper we present a novel framework that uses multi-perspective cameras for stereo matching and volumetric reconstruction. Our approach...
In this work we consider two problems for video surveillance applications: (a) abnormal behavior detection and (b) behavior matching across cameras. We propose busy-idle rates, meaningful and easy to compute features of foreground objects, to characterize the behavior profile of a given pixel. We use these features to model the typical behavior that is observed in training sequences. Using a small...
A novel method is proposed for the problem of frame-to-frame correspondence search in video sequences. The method, based on hashing of low-dimensional image descriptors, establishes dense correspondences and allows large motions. All image pixels are considered for matching, the notion of interest points is reviewed. In our formulation, points of interest are those that can be reliably matched. Their...
The 3D reconstruction based on the video image in real-time is an important problem, such as computer vision, computer graphics. The accuracy of the model is even the center issue of these fields. After considering the polyhedral visual hull (PVH) reconstruction method, this paper introduces a model optimized method based on the image feature points matching. In this paper, we present an algorithm...
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