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In sub-wavelength lithography, traditional resolution enhancement techniques (e.g., OPC) cannot guarantee the optimality of the mask. In this paper, we present a novel inverse lithography method to solve the mask optimization problem. Recognizing that when formulated on a pixel-by-pixel basis with partially coherent optical models, the problem is a large-scale nonlinear optimization problem, we cast...
In this paper, a new classification scheme of fully polarimetric SAR images is proposed. This is based on the joint use of the Freeman-Durden decomposition and generalized discriminant analysis, a new method for Feature extraction. After getting the powers of the three scattering mechanism components through Freeman-Durden decomposition, the Feature extraction algorithm is introduced to well exploit...
A novel method for object tracking in videos for drinking activity recognition is proposed. The query object is detected in the first video frame, extracting a new query image. The obtained query image is then compared with patches within a determined region of interest around the position of the detected object in the previous frame. For each image, the local steering kernels are extracted and the...
Biologically-inspired machine vision algorithms - those that attempt to capture aspects of the computational architecture of the brain - have proven to be a promising class of algorithms for performing a variety of object and face recognition tasks. However these algorithms typically require a large number of arithmetic operations per image frame evaluated. Meanwhile, the increasing ubiquity of inexpensive...
In this paper, we propose a robust video super-resolution reconstruction method based on spatial-temporal orientation-adaptive kernel regression. First, we propose a robust registration efficiency model to reflect the temporal information reliability. Second, we propose a spatial-temporal steering kernel considering motions between frames and structures in each low resolution frame. Simulation results...
Rasterization algorithms fall into two main categories, point-sampling and area-sampling. Point-sampling techniques allow for high quality reconstruction, but suffer from aliasing artifacts, time-costly to attenuate. On the other side, area-sampling, popularized by Edwin C. Catmull's Unweighted Area Sampling or UAS, is equivalent to point-sampling at an infinite rate, but reconstruction is restricted...
A novel structural and statistical approach for model-based visual object recognition using geometric radiance saliencies is presented. The approach acquires accurate high dynamic range images to properly capture complex heterogeneously lighted scenes. Based on these images, the receptive radiance saliency is computed through a Gabor kernel set. This oriented saliency is used to extract and refine...
In this paper we present an almost automatic synthesis of a highly complex, throughput optimized architecture of an adaptive multiresolution filter as used in medical image processing for FPGAs. The filter consists of 16 parallel working modules, where the most computationally intensive module achieves software pipelining of a factor of 85, that is, computations of 85 iterations overlap each other...
In recent years, researchers have paid more and more attention to computer vision, pattern recognition and human-computer interaction. Recognizing barcode in real-time video is an embodiment of these techniques. This paper presents an algorithm which can locate barcode region in complex background through region-based image analysis. Being different from traditional region-based image analysis, the...
We introduce a facial expression recognition method, which incorporates a weight to the Local Binary Pattern (LBP), and generates solid expression features. Furthermore, we use Adaboost to select a small set of prominent features, which is used by the Support Vector Machine (SVM) to classify facial expressions efficiently. Experimental results demonstrate that our method outperforms the state-of-the-art...
In this paper, a rate-distortion optimized variable block transform coding scheme is proposed based on a hierarchical structured transform for macroblock (MB) coding with a set of the order-4 and -8 integer cosine transform (ICT) kernels of H.264/AVC as well as a new order-16 ICT kernel. The set of order-4, -8 and -16 ICT kernels are applied for inter-predictive coding in square (4 × 4, 8 × 8 or 16...
In this paper, we analyze the applicability of Constant Modulus Algorithm (CMA), one of the most widely used and tested blind equalization technique to blind image deconvolution. With a detailed mathematical analysis, we show that the strong correlation between the neighboring spatial locations found in natural images becomes a major constraint on the convergence of CMA. In order to overcome this...
A texture based object tracking algorithm is presented. The algorithm is an extension to famous mean-shift tracking method. It does not rely on color histogram. It incorporates both color histogram and texture histogram information to model tracking target. In order to extract textural information a novel similarity operator is introduced. It is fast to compute and gray-scale invariant. It would be...
Analysis of fertile material such as flowers and fruit is a key factor in the proper identification of plant species. Despite object recognition being a mature research area, the use of it in automated plant identification is still relatively new. This paper describes a novel method of detecting fertile material in plant images using rectangular features. Rectangular features are obtained for the...
In this paper we propose a novel algorithm for object tracking from Video images based on segmentation and Kernel based procedure. Many Kernel based object tracking algorithms have been developed during last few years. The computational complexity becomes very high in those kernel based techniques. In our proposed method the target localization problem is minimized using segmentation technique, instead...
Age invariant face recognition is an important yet less investigated problem in the face recognition community. In this paper, we empirically evaluate state-of-the-art facial feature representations for age-invariant face recognition. Three representative features including local binary pattern (LBP), Gabor wavelets and gradient orientation pyramid (GOP) were applied, followed by a principal component...
Depth maps estimated using stereo matching between frames from different video views typically exhibit false contours and noisy artifacts around object boundaries. In this paper, iterative joint multilateral filtering is proposed to deal with these artifacts. The proposed filter consists of multiple filter kernels. Knowing that the estimated depth maps are erroneous, besides the kernels which measure...
Edge detection of femur in X - ray images is an important pre processing step in segmentation and 3 - D reconstruction of femur. A typical femur image is generally very noisy. A lot of edges caused by the muscles and other bones can easily mislead the edge detection algorithm. Particularly, the femoral head overlapping the pelvic bone makes it very difficult to get a clear edge of the femur head....
The acceleration of an existing linear feature detection algorithm for 2D images using GPUs is discussed. The two most time consuming components of this process are implemented on the GPU, namely, linear feature detection using dual-peak directional non-maximum suppression, and a gap filling process that joins disconnected feature masks to rectify false negatives. Multiple steps or image filters in...
This paper proposes a graph-based method for segmentation of a text image using a selected colour-channel image. The text colour information usually presents a two polarity trend. According to the observation that the histogram distributions of the respective colour channel images are usually different from each other, we select the colour channel image with the histogram having the biggest distance...
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