This paper presents the idea of a multimodal human aerobotic interaction. An overview of the aerobotic system and its application is given. The joystick-based controller interface and its limitations is discussed. Two...
详细信息
ISBN:
(纸本)9789898533524
This paper presents the idea of a multimodal human aerobotic interaction. An overview of the aerobotic system and its application is given. The joystick-based controller interface and its limitations is discussed. Two techniques are suggested as emerging alternatives to the joystick-based controller interface used in human aerobotic interaction. The first technique is a multimodal combination of speech, gaze, gesture, and other non-verbal cues already used in regular human-human interaction. The second is telepathic interaction via brain computer interfaces. The potential limitations of these alternatives is highlighted, and the considerations for further works are presented.
The characterization of nanoscale images finds numerous applications in computervision and imageprocessing technologies. It is an emerging area of research and only few papers exist in literature on techniques for a...
详细信息
ISBN:
(纸本)9781509012770
The characterization of nanoscale images finds numerous applications in computervision and imageprocessing technologies. It is an emerging area of research and only few papers exist in literature on techniques for analyzing properties of nanostructures. The characterization of nanostructures in terms of surface morphology, particle size, porosity measurement etc helps in analyzing unique features and properties of the nanomaterials which makes them useful in many applications. This paper reviews the various algorithms and their advantages and drawbacks in analyzing the nanostructures.
In this paper, we propose a fast solution for the problem of illuminant color estimation. We present a physics-based algorithm that uses the mean projections maximization assumption. We investigated this hypothesis on...
详细信息
ISBN:
(纸本)9783319336183;9783319336176
In this paper, we propose a fast solution for the problem of illuminant color estimation. We present a physics-based algorithm that uses the mean projections maximization assumption. We investigated this hypothesis on a large images dataset and used it afterwords to estimate the illuminant color. The proposed algorithm reduces the illuminant estimation problem to an uncentred PCA problem. The evaluation of the algorithm on two well-known image datasets results in lower angular errors.
This paper investigates precise pupil center localization in low-resolution images. Being an essential preprocessing step in many applications such as gaze estimation, face alignment as well as human-computer interact...
详细信息
ISBN:
(纸本)9781467399616
This paper investigates precise pupil center localization in low-resolution images. Being an essential preprocessing step in many applications such as gaze estimation, face alignment as well as human-computer interaction, robust, precise, and efficient methods are necessary. We present a method for accurate eye center localization operating with images from simple off-the-shelf hardware such as webcams. The proposed method utilizes the isophote representation that allows to find pupil center candidates by introducing a novel voting mechanism for pixel weights. To cope with multiple local maxima resulting from the isophote voting map, we combine this information with quasi-continuous responses of a modified cascade classifier framework utilizing appearance-based features. We conduct experiments on the BioID database and show that the presented method outperforms results of existing methods within an error range of the pupil diameter while running at 10 fps on a standard CPU with 3.3 GHz in a Matlab implementation.
image upsampling from one input image gathers considerable attention in the field of computervision. The problem is ill-posed because the number of known low-resolution (LR) pixels is less than that of unknown high-r...
详细信息
ISBN:
(纸本)9781467399616
image upsampling from one input image gathers considerable attention in the field of computervision. The problem is ill-posed because the number of known low-resolution (LR) pixels is less than that of unknown high-resolution (HR) pixels. Therefore, quality of an up sampled image depends on prior assumptions. image interpolation methods are one of the image upsampling technologies and are faster than other image upsampling technologies such as Super-Resolution. However, these methods tend to cause jaggies and blurs in edge and texture regions. We use the idea of Multi-surface Fitting (MF) to solve these problems. MF uses plural local functions to estimate an HR pixel and it reduces blurs. Moreover, we utilize filtering instead of calculation of each local function in order to reduce a computational cost. And we introduce new weights to estimate edge directions. By these ideas, our method has both high quality and a low computational cost.
Algorithms and approaches used for implementing software for processing an image output signal from microfluidic devices are presented in this paper. Such microdevices (often called a lab-on-a-chip) are utilized in an...
详细信息
ISBN:
(纸本)9786176079132
Algorithms and approaches used for implementing software for processing an image output signal from microfluidic devices are presented in this paper. Such microdevices (often called a lab-on-a-chip) are utilized in analysis of biological cells;their behaviors are investigated under different sets of conditions. We present here algorithms for cell detecting, processing and automatic recognition of shape and size of cells in lab-chips for bioanalysis.
Catadioptric panoramic image's application to computer visual field gains its popularity in recent years. However, due to its complicated imaging relationship, most existing mismatching elimination algorithms cann...
详细信息
ISBN:
(纸本)9781509019151
Catadioptric panoramic image's application to computer visual field gains its popularity in recent years. However, due to its complicated imaging relationship, most existing mismatching elimination algorithms cannot directly operate on the unprocessed panoramic images. Those above algorithms usually need to unwarp the panoramic images before further processing. In order to solve the above problems, based on the distribution characteristics of features in the panoramic image, a novel mismatching elimination algorithm is proposed in this paper. Under different scene conditions, the novel algorithm can eliminate the mismatching features and improve the matching accuracy effectively. Experiments on the image databases confirm its effectiveness.
Kinect camera produces depth images as well as color images. Yet undefined depth regions called holes are often observed in the depth image and are quite harmful in generating a second view image to construct a stereo...
详细信息
We present an efficient approach to lane and pedestrian detection by processing sequential images from a camera attached to a moving vehicle. The left and right lines of the current lane are detected by finding high i...
详细信息
ISBN:
(纸本)9781509023776
We present an efficient approach to lane and pedestrian detection by processing sequential images from a camera attached to a moving vehicle. The left and right lines of the current lane are detected by finding high intensity pixels along multiple horizontal scan lines and connecting the detected pixel points. Line positions are predicted by tracking in order to increase detection credibility while reducing processing time. Pedestrian detection is done using HOG features. Since HOG-based method is however computer intensive, an edge based adaptive method is proposed. Our approach worked well on real road scene images.
Object detection is a well-researched technology related to computervision(CV) and imageprocessing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in d...
详细信息
ISBN:
(纸本)9781467378079
Object detection is a well-researched technology related to computervision(CV) and imageprocessing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. It has got some real-world applications such as smart-home automation, etc. Detection of a particular object by the computer's camera is an important aspect. In this paper, we have proposed a method by which a particular coloured object is detected by the computer and according to the movement of the object, a robot, which is being interfaced with the computer using a wired medium is also moved. The arduino controlled robot is interfaced with the computer which acts as a slave. The object movement is the determining factor of the movement of the robot. The experimental results and analysis shown in the paper illustrates the performance of the proposed methodology in real-time.
暂无评论