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This paper presents an approach for computing power grasps for hands with kinematic structure similar to the human hand, which allows the implementation of strategies inspired in human grasping actions. The proposed method first samples the object surface to look for the best spots for creating an opposing grasp with two or three fingers, and then aligns the other fingers to match the local curvature...
We solve the problem of localizing and tracking household objects using a depth-camera sensor network. We design and implement Kin sight that tracks household objects indirectly -- by tracking human figures, and detecting and recognizing objects from human-object interactions. We devise two novel algorithms: (1) Depth Sweep -- that uses depth information to efficiently extract objects from an image,...
We present a new gait identification method based on dynamic time warping (DTW), as video surveillance system requires high accuracy and precision. It could reduce computational cost of gait recognition, significantly improve the recognition rate for gait and meet the demand of video surveillance. The characters of human appearance have been utilized to extract entire binary image of human silhouette...
Natural body gesture, as well as speech dialog, is crucial for human-robot interaction and human-robot symbiosis. We have already proposed a real-time gesture planning method. In this paper, we afford this method more flexibility by adding motion parameterization function. Especially in multi-person HRI, this function becomes more important because of its adaptation to changes of a speaker's and/or...
The study is about the influence of face in videos. In the experiment, the participants were instructed free viewing of various videos. The resulting eye positions are compared to the hand-labeled faces to evaluate the impact of location and number of faces in the visual field. Here, we defined three regions—Inside (I), Periphery (P), and Outside (O)—to categorize video frames with one or two faces...
In this paper we propose the first (to the best of our knowledge) overall quality assessment scheme for facial images based on statistical learning. The overall quality assessment system is trained on the subjective quality scores, and is with a high fidelity to the human vision system (HVS) model. This scheme employs a hierarchical binary decision tree classifier based on support vector machines...
This paper presents a new approach to enhancing the text readability of the quad RGBW color electrophoretic display (EPD). In the color EPD, text characters are jagged due to its low resolution and the jaggedness degrades the readability of the text. However, text characters are usually black-and-white, and for the black-and-white character, it is possible to improve readability by relocating the...
Gender and ethnicity classification are challenging topics in the field of face analysis. Some features, like skin color, are relevant only for ethnicity but not for gender; some others, like face geometry, are important for both. The impact of ethnicity in gender perception, as the effect of gender on ethnicity disambiguation, is not clear. This paper provides a study to check if gender and ethnicity...
This paper presents the result of a recent large-scale subjective study of image retargeting quality on a collection of images generated by several representative image retargeting methods. Owning to many approaches to image retargeting that are developed, there is a need for a diverse independent public database of the retargeted images and the corresponding subjective scores that is freely available...
In this paper we evaluate the impact of different encoding configurations such as compression ratios, frame rates and resolution on the perceived quality of high definition video-conference applications. After generating a high quality video database, degraded sequences had their quality assessed by state-of-the-art automatic metrics. Results have shown that, for low rates, it is preferable to decrease...
Landscapes are essential for society, tourism industries and local communities. The development of tools capable to assess their environmental and socioeconomic importance are fundamental to preserve their aesthetic integrity, especially in coastal areas facing strong anthropogenic pressure. Online photo databases enable users to localize their images via GPS coordinates and share their photo albums...
Dental image processing is most immerging field for human identification. Dental features remain more or less invariant over time compared to other identification clues like fingerprint, iris, etc. which are not available in some case of major accidents. The purpose of dental image processing is to match the post-mortem (PM) radiograph with the ante mortem (AM) radiograph based on some characteristic...
Cognitive information processing at higher conceptual levels requires a computational approach to knowledge representation and analysis. Semantic network analysis bridges the gap between probabilistic pattern recognition techniques and symbolic representations by replacing cumbersome and computationally complex forms of logic-based semantic inference common in symbolic approaches with mathematical...
We investigate body soft biometrics capabilities to perform pruning of a hard biometrics database improving both retrieval speed and accuracy. Our pre-classification step based on anthropometric measures is elaborated on a large scale medical dataset to guarantee statistical meaning of the results, and tested in conjunction with a face recognition algorithm. Our assumptions are verified by testing...
Human gait is a complex phenomenon involving the motion of various parts of the body simultaneously in 3 dimensional space. The dynamics of different parts of the body translate the center of gravity from one point to another in the most energy efficient way. These body dynamics as well as the static parameters of different body parts contribute to gait recognition. Studies have been performed to...
Human identification at a distance has recently gained growing interest from computer vision researchers. This paper presents an automatic gait recognition system that recognizes a person by the way they walk. The gait signature is obtained based on the angle and the contour of the silhouette. For each image sequence, background subtraction is used to extract moving silhouettes of the walker. The...
Face recognition, as one of the most interesting and successful applications of image understanding and machine vision, has grown a lot of attention during the past years. Basically human faces are very similar in structure with minor differences from person to person. In this paper a new robust face recognition method is proposed which exploit edge-based features of faces. The performance of this...
The rapid expansion in the amount of biological data being generated worldwide is exceeding efforts to manage analysis of the data. Annotation can be specified as any piece of information associated with an amino acid sequence. Annotation is a process of relating additional information with a particular point in a piece of information. The present task is completely based on the biological database...
This paper presents advances on the Human ID Gait Challenge. Our method is based on combining an improved gait recognition method with an adapted low resolution face recognition method. For this, we experiment with a new automated segmentation technique based on alpha-matting. This allows better construction of feature images used for gait recognition. The same segmentation is also used as a basis...
In some countries, many problems according to aging are pointed out. Decrease of worker's physical ability is one of them. The old workers have high techniques, but physical ability is lower than that of young workers. And it becomes difficult to keep high quality. Hence it is thought that a power assist by robot is needed. The method that increases human motion simply is mainstream conventional power...
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