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Monocular SLAM and Structure from Motion have been traditionally based on finding point correspondences in highly-textured image areas. Large textureless regions, usually found in indoor and urban environments, are difficult to reconstruct by these systems. In this paper we augment for the first time the traditional point-based monocular SLAM maps with superpixels. Superpixels are middle-level features...
While much progress has been made for object tracking in recent years, it is still a challenging problem to handle large change in motion, appearance, scale and pose variation. One of the main reasons is the lack of effective representation to account for appearance variation. For this issue a flexible method based on superpixel segmentation is applied to divide an image into several patches. Besides,...
This paper deals with the image security along with compression. Here we have proposed an algorithm using chaos on EZW compression technique to provide security along with image compression. We had chosen chaos for image security due to its robustness to initial condition and mixing property. Our process of providing image security starts with compressing the image using EZW. The output sequence of...
In this paper a new method of capacious spread-spectrum digital audio watermarking, robust against some studied unintentional attacks, is proposed. By this technique, an increase in the amount of embedded information capacity in comparison with the traditional spread spectrum (TSS) is obtained. We investigate both embedding and reconstruction performances of our method in which a linear predictive...
In this paper we address the problem of superresolution imaging. Super-resolution (SR) technique aims to produce a high-resolution (HR) image using a set of aliased low-resolution (LR) images of the same scene. In the process of reconstructing super-resolution image, the assumed model violations for the imaging process effect in final reconstructed HR image. So, a method which promises robustness...
We propose a new recoverable visible digital image watermarking method based on the dyadic lifting scheme. This method generates a visible watermarked image by embedding a binary logo into an image using the dyadic wavelet transform (DYWT) and interval arithmetic (IA).The dyadic lifting scheme contains free parameters that enable us to construct filters having features of the original image. Our method...
In image-guided neurosurgery, preoperatively acquired diagnostic images (e.g., brain MRI) should be accurately registered to the physical space that is specific to the patient's intraoperative neuroanatomy. A popular framework of registration requires manual defining corresponding positions of fiducial markers on the patient head and the preoperative brain MRI. The procedure is time-consuming and...
In this paper, we propose a robust method for camera tracking and surface mapping using a handheld RGB-D camera which is effective in challenging situations such as fast camera motion or geometrically featureless scenes. The main contributions are threefold. First, we introduce a robust orientation estimation based on quaternion method for initial sparse estimation. By using visual feature points...
Error concealment techniques try to mitigate the effect of channel error, using spatially and/or temporally neighboring macroblocks. This paper proposes a novel method for temporal error concealment. The change from one frame to the next frame is modelled as an affine transformation and Speeded Up Robust Features (SURF) algorithm is used to find correspondence between present and past frame. The set...
Identifying the location and spatial extent of several highly correlated and simultaneously active brain sources from electroencephalographic (EEG) recordings and extracting the corresponding brain signals is a challenging problem. In a recent comparison of source imaging techniques, the VB-SCCD algorithm, which exploits the sparsity of the variational map of the sources, proved to be a promising...
Digital image watermarking techniques for copyright protection are used by many people to protect their images from others. The goal of this work is to propose a new digital watermarking technique, which depends on the steerable pyramid decomposition transform. By taking into consideration invisibility and robustness, the watermark is embedded several times in all bands of steerable pyramid which...
This paper presents a fast algorithm for high-accuracy large-scale outdoor dense stereo reconstruction of man-made environments. To this end, we propose a structure-adaptive second-order Total Generalized Variation (TGV) regularization which facilitates the emergence of planar structures by enhancing the discontinuities along building facades. As data term we use cost functions which are robust to...
We propose an online robust object tracking algorithm based on a sample-based dictionary. The sample-based dictionary in our method means that the over-completely dictionary of sparse coding algorithm is formed by using the sample basis extracted from video images. Different from the other tracking methods that use the object features and a set of boosted classifiers, the proposed algorithm considers...
Automatic reconstruction of large-scale outdoor objects like house facades is an important component of mixed-reality systems that model and visualise real world at different level of detail. The authors are involved in a project that utilises a car-mounted LIDAR to acquire a sequence 3D point clouds representing facades in a street. No GPS or IMU is used. Hundreds of point clouds need to be automatically...
In this paper, a new light pattern is proposed for three-dimensional reconstruction. This pattern has several interesting properties and is highly robust to deformation due to its topology. Moreover, the proposed pattern is based on triangulation meshes which allow us to construct arbitrarily a high number of unique key points. Furthermore, the graph permits to have information on connectivity between...
The objective of reconstruction-based super-resolution is to construct a high-resolution image from a sequence of low-resolution images. The super-resolution processing requires precise registration of low-resolution images and the registration error degrades the resulting high-resolution image. In order to handle inaccuracies in registration, the robust super-resolution methods have been proposed...
This paper presents a system for robust dynamic human surface reconstruction using a single Kinect. The single Kinect provides a self-occluded and noisy RGBD data. Thus it is challenging to track the whole human surface robustly. To overcome both incompleteness and data noise, we adopt a template to confine the shape in the un-seen part, and propose a two-stage tracking pipeline. The first stage tracks...
In this paper we propose a novel compressed sensing based Fourier shape descriptor method to compute the shape feature vector of an arbitrary object. First, the object contour obtained via segmentation is represented as a complex-valued signal. We then formulate an optimization problem that exploits the sparsity of the shape feature of the contour. This results in a reduced size feature vector, which...
The method provides fast and robust reconstruction of stack rotations with low measuring and implementation effort, even in presence of noisy PET data. First measurements with Hyperion IID already indicate improvements to the spatial resolution using this method.
Dedicated breast CT (bCT) produces high-resolution cone-beam CT breast images at radiation doses comparable to that of a screen-film mammographic exam, potentially allowing for breast cancer screening with bCT. Early indicators for breast cancer include microcalcifications clusters (MC), which consist of groups of calcium specks ranging from 200µm to 500µm in size. Iterative image reconstruction (IIR)...
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