We present a new post-processing step to enhance the resolution of range images. Using one or two registered and potentially high-resolution color images as reference, we iteratively refine the input low-resolution ra...
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ISBN:
(纸本)9781424411795
We present a new post-processing step to enhance the resolution of range images. Using one or two registered and potentially high-resolution color images as reference, we iteratively refine the input low-resolution range image, in terms of both its spatial resolution and depth precision. Evaluation using the Middlebury benchmark shows across-the-board improvement for sub-pixel accuracy. We also demonstrated its effectiveness for spatial resolution enhancement up to 100x with a single reference image.
The inhibitory interaction has long been observed in the lateral eye of the Limulus and been integrated into mechanism of enhancing contrast. When applying to the enhancement of low-contrast image for segmenting inter...
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ISBN:
(纸本)9780819469526
The inhibitory interaction has long been observed in the lateral eye of the Limulus and been integrated into mechanism of enhancing contrast. When applying to the enhancement of low-contrast image for segmenting interested objects, the original lateral inhibition model will simultaneously amplify noises while enhancing edges contrast, This paper presents a new lateral inhibition model, which is called Stick-Guided Lateral Inhibition, for enhancement of low-contrast image so that week edges may exert a stronger force to catch the boundary of targets in the latter segmentation. First, the guided inhibition term is introduced as a general framework for improving the performance of lateral inhibition models in the presence of noises. Then, by using asymmetric sticks to guide the inhibiting process, we are able to accentuate the intensity gradients of image-edges and contours while suppressing the amplification of noises. Experiments on synthetic images and remote sensor images show that our model significantly enhances low-contrast images and improves the performance of latter segmentation.
Nonnegative tensor factorization (NTF) is a recent multiway (multilinear) extension of nonnegative matrix factorization (NMF), where nonnegativity constraints are imposed on the CANDECOMP/PARAFAC model. In this paper ...
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ISBN:
(纸本)9781424411795
Nonnegative tensor factorization (NTF) is a recent multiway (multilinear) extension of nonnegative matrix factorization (NMF), where nonnegativity constraints are imposed on the CANDECOMP/PARAFAC model. In this paper we consider the Tucker model with nonnegativity constraints and develop a new tensor factorization method, referred to as nonnegative Tucker decomposition (NTD). The main contributions of this paper include: (1) multiplicative updating algorithms for NTD;(2) an initialization method for speeding up convergence;(3) a sparseness control method in tensor factorization. Through several computervision examples, we show the useful behavior of the NTD, over existing NTF and NMF methods.
We propose using stereo matching for 2-D face recognition across pose. We match one 2-D query image to one 2-D gallery image without performing 3-D reconstruction. Then the cost of this matching is used to evaluate th...
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ISBN:
(纸本)9781424411795
We propose using stereo matching for 2-D face recognition across pose. We match one 2-D query image to one 2-D gallery image without performing 3-D reconstruction. Then the cost of this matching is used to evaluate the similarity of the two images. We show that this cost is robust to pose variations. To illustrate this idea we built a face recognition system on top of a dynamic programming stereo matching algorithm. The method works well even when the epipolar lines we use do not exactly fit the viewpoints. We have tested our approach on the PIE dataset. In all the experiments, our method demonstrates effective performance compared with other algorithms.
Aiming at making up the limitation of catadioptric vision system that lacks of nearby image information, which is used for the middle-size league of RoboCup - The World Cup of Soccer Robots, this paper introduces the ...
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ISBN:
(纸本)9780819469502
Aiming at making up the limitation of catadioptric vision system that lacks of nearby image information, which is used for the middle-size league of RoboCup - The World Cup of Soccer Robots, this paper introduces the monocular front vision process with the purpose of improving the primary system. The paper puts forward the idea of the monocular front vision process at first, explains the algorithm of every module in detail, and comes up with the result as well as analyzes it according to the experiment at last.
A 1,000-fps camera-projector system in which projected patterns are adaptively controlled according to image processing results is described. Adaptive structured light projection enables fast and efficient 3-D imforma...
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ISBN:
(纸本)9781424411795
A 1,000-fps camera-projector system in which projected patterns are adaptively controlled according to image processing results is described. Adaptive structured light projection enables fast and efficient 3-D imformation acquisition. The prototype system is applied to the tracking of the nearest point of an object, and experimental results show that the system successfully tracked an apex of a fastmoving target object.
This paper presents the hardware implementation of a stereo vision core algorithm, that runs in real-time and is targeted at automotive applications. The algorithm is based on the Sum of Absolute Differences (SAD) and...
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ISBN:
(纸本)9781424411795
This paper presents the hardware implementation of a stereo vision core algorithm, that runs in real-time and is targeted at automotive applications. The algorithm is based on the Sum of Absolute Differences (SAD) and computes the disparity map using 320 X 240 input images with a maximum disparity of 100 pixels. The hardware operates at a frequency of 65 MHz and achieves a frame rate of 425 fps by calculating the data highly parallel and pipelined. Thus an implemented and basically optimized software solution, running on an Intel Pentium 4 with 3 GHz clock frequency is 166 times outperformed.
To reconstruct a 3D scene around the lunar rover from stereo image-pairs captured by the panoramic cameras, based on which an intuitive platform can be put up for scientists to plan exploration commands, we set about ...
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ISBN:
(纸本)9780819469526
To reconstruct a 3D scene around the lunar rover from stereo image-pairs captured by the panoramic cameras, based on which an intuitive platform can be put up for scientists to plan exploration commands, we set about to study the 3D scene reconstruction. This paper mainly presents a scheme of registering local scene models to reconstruction a large scene. When a few of local 3D scene models have been reconstructed respectively, we firstly find the common 3D point sets between every two adjacent local models based on edge detection and image matching, secondly fit the matrix of coordinate transformation employing the technique of separating rotation matrix and translate vector, and lastly register these local 3D models into a uniform coordinate system. In this scheme, we don't need to set a few of control points in a scene beforehand;and we determine the rotation matrix by a system of linear equations based on Cayley transformation. Experimental results of reconstructing indoor and outdoor scenes show that our scene registration method is feasible.
Two new techniques are proposed to improve stereo matching performance in this work. First, to address the disparity discontinuity problem in occluded regions, we present a disparity estimation procedure, which consis...
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ISBN:
(纸本)9781424411795
Two new techniques are proposed to improve stereo matching performance in this work. First, to address the disparity discontinuity problem in occluded regions, we present a disparity estimation procedure, which consists of two steps;namely, a greedy disparity filling algorithm and a least-squared-errors (LSE) fitting method. Second, it is observed that the existing fronto-parallel model with color segmentation is built upon the piecewise constant surface approximation, which is however not efficient in approximating slanted or curved objects. We use a piecewise linear surface model to represent 3-dimensional (3D) geometric structure for better surface modeling. The proposed stereo matching system with these two new components is evaluated with Middlebury data sets with excellent quantitative and qualitative results.
In foggy weather, the contrast of images grabbed by in-vehicle cameras in the visible light range is drastically degraded, which makes the current applications very sensitive to weather conditions. An onboard vision s...
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ISBN:
(纸本)9781424411795
In foggy weather, the contrast of images grabbed by in-vehicle cameras in the visible light range is drastically degraded, which makes the current applications very sensitive to weather conditions. An onboard vision system should take fog effects into account. The effects of fog varies across the scene and are exponential with respect to the depth of scene points. Because it is not possible in this context to compute the road scene structure beforehand contrary to fixed camera surveillance, a new scheme is proposed. Weather conditions are first estimated and then used to restore the contrast according to a scene structure which is inferred a priori and refined during the restoration process. Based on the aimed application, different algorithms with increasing complexities are proposed. Results are presented using sample road scenes under foggy weather and assessed by computing the contrast before and after restoration.
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