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With the purpose of extracting dominant colors exactly and efficiently, the most commonly used color difference formulas in CIELAB color space are investigated in this paper. Firstly, the theories of these color difference formulas are studied. Then, experiments are operated to compare the performance of these color difference formulas. Theoretical analysis and experimental results show that CIE94...
In order to overcome the limit of traditional methods in image cast detection, a new cast detection approach with robust performance is presented. The algorithm by using digital image analysis is used to analyze the characteristics of the image itself. Especially the algorithm introduces image texture information to cast factor K. The new technique of evaluating cast detection not only is able to...
With advances in technology, robots play an important role in our lives. Nowadays, we have more chance to see robots service in our society such as intelligent robot for rescue and for service. Therefore, Human-Robot interaction becomes an essential issue for research. In this paper we introduce a combining method for hand sign recognition. Hand sign recognition is an essential way for Human-Robot...
The efficiency in image classification tasks can be improved using combined information provided by several sources, such as shape, color, and texture visual properties. Although many works proposed to combine different feature vectors, we model the descriptor combination as an optimization problem to be addressed by evolutionary-based techniques, which compute distances between samples that maximize...
In this paper, we propose an error concealment technique for H.264 coded videos. The algorithm is targeted at compressed videos degraded after packet losses caused by transmission over an unreliable channel. We use a combination of watermarking and half toning (dithering) techniques. At the encoder side, a dithered version of each video frame is embedded into the video using a watermarking technique...
Although several methods for pedestrian tracking can be found in the literature, robustly tracking a person in unconstrained environments is an open and active research problem. In this paper, we propose a method that represents each pedestrian as a set of multiple fragments, aiming robustness with respect to occlusions. These patches are tracked individually and their translation vectors are combined...
We present a new formulation to automatically solve jigsaw puzzles considering only the information contained on the image. Our formulation maps the problem of solving a jigsaw puzzle to the maximization of a constrained quadratic function that can be solved by a numerical method. The proposed method is deterministic and it can handle arbitrary rectangular pieces. We tested the validity of the method...
In this paper, the fractal Image Compression technique proposed by Jacquin is investigated for 24 bits/pixel color image with some improvements introduce on the IFS matching stage. One of them is using stopping search condition (e ) when monitoring the minimum matching error. This will reduce the required long fractal coding time. The other is using the domain block position index (PosI) instead of...
Visual discomfort has been the subject of considerable research in relation to stereoscopic displays, but remains an ambiguous concept used to denote a variety of subjective symptoms potentially related to different underlying processes. In this paper, we firstly studied the hue and saturation influence quantitatively on stereoscopic images combining the characters of human visual system (HVS). According...
This paper develops a novel method to automatically categorize different animation genres in a video database made for children, this is the first such research done in animation genre categorization. The method is based on statistically modeling the temporal texture attributes of the video sequence. The features are extracted from gray-level co-occurrence matrices and a hidden Markov models (HMM)...
Real world contains a wide range of intensities that cannot be captured with traditional imaging devices. Moreover, even if these images are captured with special procedures, existing display devices cannot display them. This paper presents a comparative study of most famous tone mapping algorithms. Tone mapping is the process of compressing high dynamic range images into a low dynamic range so they...
In this paper, we segment RGB-D sensor (e.g. Microsoft Kinect camera) images into 3D planar surfaces. We initialize a set of plane equations based solely from the depth (point cloud) information. We then iteratively refine the pixel-to-plane assignment and plane equations. During this process, the number of planes are also reduced by merging adjacent local planes with similar orientations. For the...
In this paper, we propose a simple loss less algorithm which can compress all types of images with the same high Compression Rate. The algorithm consists of two phases. First, it removes the correlation between pixels with Snake Scan to get residual of data. And then encode the residual of data with an Adaptive Arithmetic Coding. This Adaptive Arithmetic Coding only uses adjacent data to build the...
This paper develops a background generation scheme for a color video sequence. We use a temperate background in grayscale for training and a formal background in color for object extraction. Besides, we use current frame, previous frame and previous twentieth frame to achieve a well performance color background to avoid suddenly moving. Several test sequences with difference scenes are used to demonstrate...
People in a color image, particularly facial patterns are important and interesting visual object. Thus, color reproduction for skin tone becomes the foremost treatment, because skin color is a key memory color in color application systems. Previous studies suggested skin color reproduction by mapping only to the center value of preferred skin region. However, it is not suitable to determine one preference...
A popular approach to pixel labeling problems, such as multiclass image segmentation, is to construct a pairwise conditional Markov random field (CRF) over image pixels where the pairwise term encodes a preference for smoothness within local 4-connected or 8-connected pixel neighborhoods. Recently, researchers have considered higherorder models that encode soft non-local constraints (e.g., label consistency,...
We introduce a method to repair an image which has been stamped by an identigram or a watermark. Our method is based on the cross-channel correlation which assures the co-occurrence of image discontinuities and correlation of color distributions across different color channels of an image. Using blind source separation, we find the transformation of color space which separates the structures of identigram...
Aligning image pairs with significant appearance change is a long standing computer vision challenge. Much of this problem stems from the local patch descriptors' instability to appearance variation. In this paper we suggest this instability is due less to descriptor corruption and more the difficulty in utilizing local information to canoni-cally define the orientation (scale and rotation) at which...
Substantial ambiguities arise in hand tracking due to issues such as small hand size, deformable hand shapes and similar hand appearances. These issues have greatly limited the capability of current multi-target tracking techniques in hand tracking. As an example, state-of-the-art approaches for people tracking handle indentity switching by exploiting the appearance cues using advanced object detectors...
We introduce a technique to fill large holes in LiDAR data sets. We combine concepts from patch-based image inpainting and gradient-domain image editing to simultaneously fill both texture and structure in a LiDAR scan. We discuss the problems with directly inpainting a depth image, and present a solution to this problem based on inpainting the depth gradients. Once the inpainted depth gradients are...
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