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COMBINED VISUAL EXPLORATION OF 2D GROUND RADAR AND 3D POINT CLOUD DATA FOR ROAD ENVIRONMENTS
Ground Penetrating Radar 3D Point Cloud Infrastructure Maintenance
2018/11/9
Ground-penetrating 2D radar scans are captured in road environments for examination of pavement condition and below-ground variations such as lowerings and developing pot-holes. 3D point clouds captur...
CommentSpace: Structured Support for Collaborative Visual Analysis
Information visualization asynchronous collaboration social data analysis tagging
2016/5/24
Collaborative visual analysis tools can enhance sensemaking
by facilitating social interpretation and parallelization
of effort. These systems enable distributed exploration and
evidence gathering,...
Influence of the Substrate Colour on the Visual Appearance of Gilded Sculptures
colorimetry spectrophotometry SEM image synthesis materials sciences archæ ology
2015/11/13
Measurements, optical simulations, samples realization of gilded surfaces were made for studying the visual appearance and the substrate color influence of gilded surfaces mainly encountered in ...
THE AUDIO/VISUAL MISMATCH AND THE UNCANNY VALLEY: AN INVESTIGATION USING A MISMATCH IN THE HUMAN REALISM OF FACIAL AND VOCAL ASPECTS OF STIMULI
auditory visual incongruent
2015/5/26
Empirical research on the uncanny valley has primarily been concerned with visual elements. The current study is intended to show how manipulating auditory variables of the stimuli affect participant’...
TRAFFIC SIGN DETECTION BASED ON BIOLOGICALLY VISUAL MECHANISM
Vision Sciences Optical Detection Urban Automation
2014/4/28
TSR (Traffic sign recognition) is an important problem in ITS (intelligent traffic system), which is being paid more and more attention for realizing drivers assisting system and unmanned vehicle etc....
Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video
Probabilistic Multi-Task Visual Saliency Estimation Video
2010/12/20
In this paper, we present a probabilistic multi-task learning approach for visual saliency estimation in video.In our approach, the problem of visual saliency estimation
is modeled by simultaneously ...
Cost-Sensitive Rank Learning from Positive and Unlabeled Data for Visual Saliency Estimation
Cost-Sensitive Rank Positive Unlabeled Data Visual Saliency Estimation
2010/12/20
This paper presents a cost-sensitive rank learning approach for visual saliency estimation. This approach avoids the explicit selection of positive and negative samples, which is
often used by existi...
Robust Visual Tracking Using Feature-based Visual Attention
Robust Visual Tracking Feature-based Visual Attention
2010/12/21
Psychophysical findings have shown that human vision system has an ability to improve target search by enhancing the representation of image components that are related to the
searched target, which ...
Building Pair-Wise Visual Word Tree for Efficient Image Re-ranking
Pair-Wise Visual Word Tree Efficient Image Re-ranking
2010/12/21
Bag-of-visual Words (BoW) image representation is getting popular in computer vision and multimedia communities.However, experiments show that the traditional BoW representation is not as effective as...
Towards Semantic Embedding In Visual Vocabulary
Towards Semantic Embedding Visual Vocabulary
2010/12/21
Visual vocabulary serves as a fundamental component in many computer vision tasks, such as object recognition, visual search, and scene modeling. While state-of-the-art approaches build visual vocabu...
Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles
Visual Tracking Weakly Supervised Multiple Imperfect Oracles
2010/12/21
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems.To solve them, most top-performing method...
Visual Selection and Attention Shifting Based On FitzHugh-Nagumo Equations
F-N model Neural Network Visual Selection
2010/12/21
In this paper, we make some analysis on the FitzHugh-Nagumo model and improve it to build a neural network, and the network is used to implement visual selection and attention shifting. Each group of ...
A Visual Search System based on Multi-scale Population Cell Coding
Visual Search System Multi-scale Population Cell Coding
2010/12/21
Gaze movement plays an important role in human visual search system. How to simulate such a
system to efficiently encode and decode gaze movement for target searching is a meaningful issue. There are...
Per-Sample Multiple Kernel Approach for Visual Concept Learning
Per-Sample Multiple Kernel Approach Visual Concept Learning
2010/12/21
Learning visual concepts from images is an important yet challenging problem in computer vision and multimedia research areas. Multiple kernel learning (MKL) methods have shown great advantages in vis...
Conceptual Penetration of Visual Processing
visual processing categorization modularity of vision top-down effects perceptual learning knowledge-based vision
2014/5/7
In traditional hierarchical models of information processing, visual representations feed into conceptual systems, but conceptual categories do not exert an influence on visual processing. We provide ...