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Although light field data provides abundant cues for depth estimation, light field depth estimation suffers from occlusion and uncertain edges. In this paper, we propose occlusion robust light field depth estimation using segmentation guided bilateral filtering. First, we calculate refocused images from light field data using digital refocusing. Second, we perform support vector machines (SVM) classification...
Saliency detection aims to find the useful and attractive regions from an image. In many situations, there may be multiple objects in the image, and these objects may have equal attractiveness. Moreover, the appearance of pixels in one object may demonstrate large difference, which could lead to lose the object integrality when detecting saliency. To this end, this paper proposes a multi-saliency...
A human height is one property used in conjunction with others for person identification. The method of human height estimation, using only one camera and some simple settings on the floor, is proposed to automatically determine the vertical distance of human head from the ground in real-time. Bimodal background subtraction technique helps locate the position of head top and lower foot bottom in each...
The challenge in blind image deblurring is to remove the effects of blur with limited prior information about the nature of the blur process. Existing methods often assume that the blur image is produced by linear convolution with additive Gaussian noise. However, including even a small number of outliers to this model in the kernel estimation process can significantly reduce the resulting image quality...
Solving blind image deblurring usually requires defining a data fitting function and image priors. While existing algorithms mainly focus on developing image priors for blur kernel estimation and non-blind deconvolution, only a few methods consider the effect of data fitting functions. In contrast to the state-of-the-art methods that use a single or a fixed data fitting term, we propose a data-driven...
A method is proposed for estimation of occluded space and generation of auxiliary points for 3D position estimation of strongly occluded objects. First, occlusion space detection calculates 3D keypoints at the rear side of a target object, thus obtaining a silhouette around the object on the near side, as found from a camera image by an object detector. The method calculates the space containing the...
One popular approach for blind deconvolution is to formulate a maximum a posteriori (MAP) problem with sparsity priors on the gradients of the latent image, and then alternatingly estimate the blur kernel and the latent image. While several successful MAP based methods have been proposed, there has been much controversy and confusion about their convergence, because sparsity priors have been shown...
We propose a joint intrinsic-extrinsic prior model to estimate both illumination and reflectance from an observed image. The 2D image formed from 3D object in the scene is affected by the intrinsic properties (shape and texture) and the extrinsic property (illumination). Based on a novel structure-preserving measure called local variation deviation, a joint intrinsic-extrinsic prior model is proposed...
We propose a method of improving the quality of decoded HEVC motion fields attached to B-frames, in order to make them more suitable for video analysis and enhancement tasks. We use decoded HEVC motion vectors as a sparse set of motion "seeds", which guide an edge-preserving affine interpolation of coded motion (HEVC-EPIC) in order to obtain a much more physical representation of the scene...
A fault tolerant position estimation for Switched Reluctance Motor (SRM) is proposed in the paper based on relationship between inductance and rotor position. First, the particular position signal is obtained by comparing the real-time flux linkage with the particular position flux linkage, the position is estimated by the particular position signal. Second, the delay method is used based on inter-phase...
Graph signal processing is a framework that allows us to work with general unstructured discrete data that cannot be handled with classical Discrete signal processing. The underlying graph topology plays a crucial role in determining the definition of Fourier transform on graphs. Graph topology for a given graph signal is not always available and may also not be unique. In this paper we address the...
This paper addresses the problem of defocus map estimation from a single image. We present a fast yet effective approach to estimate the spatially varying amounts of defocus blur at edge locations, which is based on the maximum ranks of the corresponding local patches with different orientations in gradient domain. Such an approach is motivated by the theoretical analysis which reveals the connection...
A method used for estimating the distance between objects in photographic images is the depth from focus (DFF) method. The method has reportedly been implemented many times using only image-side telecentric optical systems because a change in image magnification becomes a problem due to differences in focus positions. Therefore, there have been no examples of this method having been implemented using...
Deblurring images with outliers has attracted considerable attention recently. However, existing algorithms usually involve complex operations which increase the difficulty of blur kernel estimation. In this paper, we propose a simple yet effective blind image deblurring algorithm to handle blurred images with outliers. The proposed method is motivated by the observation that outliers in the blurred...
Motivated by product detection in supermarkets, this paper studies the problem of object proposal generation in supermarket images and other natural images. We argue that estimation of object scales in images is helpful for generating object proposals, especially for supermarket images where object scales are usually within a small range. Therefore, we propose to estimate object scales of images before...
In polarimetrie filters, the adjacent pixels in the same neighborhood are regarded as possessing similar scattering mechanism, and these pixels in the continuous window are usually selected to do the averaging process when filtering the central pixel. Considering the different similarity between each neighbor pixel and the central pixel, the averaging process is given by a new definition and used...
Following paper presents new approach to the problem of automotive Ki-67 proliferation factor estimation in breast cancer biopsy images. This method is based on context filtering with designated neighborhood masks for edge detection. Proposed method was designed to compensate two major problems: cell shape divergence from ellipse and variability of color hue along with intensity in cell staining....
One of the key tasks of Outdoor-type mobile robotics is traversability estimation of underlying surfaces in a in a priori of an unknown heterogeneous environment. The paper presents practical realization of traversability estimation system based on group method of data handling (GMDH). This method is classical technique of data mining and one of the first techniques of Deep Learning. The results of...
This paper assesses the estimation of the orientation of a camera rigidly attached to a vehicle body using vanishing points and then uses the estimated rotation to rectify images for navigation in indoor environments. The approach is facilitated by the fact that many indoor environments are rich in vertical and horizontal lines that are used for detecting vanishing points. The performance of the monocular-based...
Magnetic Resonance Imaging (MRI) is a means which is used to form cross-sectional pictures of internal organs using strong magnetic fields, radio waves, and field gradient. Previously some researches tried to predict the age of humans based on face images, DNA, medical images, speech signals, etc. In this paper, a method is proposed to predict the age of humans based on their MRI image. The main challenge...
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