In computer 3D graphics analysis technology, we can use image conversion and processing to intuitively convert text into 3D images. This paper introduces computer 3D graphics technology, focuses on the basic principle...
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Baby Mentor is a system developed to learn and teach babies through images. Through intuitive observations and studies it is shown that using a visual approach i.e. images, videos is an effective method for teaching b...
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ISBN:
(纸本)9781509032945
Baby Mentor is a system developed to learn and teach babies through images. Through intuitive observations and studies it is shown that using a visual approach i.e. images, videos is an effective method for teaching babies and young children. So for this purpose we present a system that automatically recognizes and generates automatic real time for objects such as toys, picture cards or flashcards that are commonly used by children. The method begins with detecting and extracting features from image for which Scale Invariant Feature Transform (SIFT) algorithm is used. SIFT is scale, rotation and transformation invariant thereby making it easier to identify objects even if it is rotated or placed in dim light. The bag-of-visual-words model (BOVW) is then used to accumulate, cluster and segregate the features of the image generated by the SIFT algorithm, into their respective classes. This helps in generating vocabulary needed to generate the natural language description. Finally the text generated is spoken out through a speaker or microphone. This will help babies especially those suffering from autism in their learning and communication process by helping them identify and understand common world objects with the help of the text and speech generated. Besides this the entire process would require minimal human assistance thus making it a convenient and easy-to-use application.
In this paper, we address the task of affect recognition from text messaging. In order to sense and interpret emotional information expressed through written language, rule-based affect analysis system employing natur...
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ISBN:
(纸本)9783540732563
In this paper, we address the task of affect recognition from text messaging. In order to sense and interpret emotional information expressed through written language, rule-based affect analysis system employing natural language processing techniques was created. Since the purpose of our work is to improve social interactivity and affective expressiveness of computer-mediated communication, we decided to tailor the system to handle style and specifics of online conversations. Proposed algorithm for affect analysis covers symbolic cue processing, detection and transformation of abbreviations, sentence parsing, and word/phrase/sentence-level analyses. To realize visual reflection of textual affective information, we have designed an avatar displaying emotions, social behaviour, and natural idle movements.
This paper designs and implements a visual brand emotional connection system, integrating computer vision, natural language processing, and affective computing technologies to achieve precise recognition of brand visu...
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With the intensification of market competition and the increasing diversity of consumer demands, scientific brand positioning and visual image design are becoming increasingly important for enterprises' brand mark...
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The advancement of non-linear processing methods for generic automatic clarification of turbid imagery has led us from extensions of entirely passive multiscale Retinex processing to a new framework of active measurem...
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ISBN:
(纸本)0819449687
The advancement of non-linear processing methods for generic automatic clarification of turbid imagery has led us from extensions of entirely passive multiscale Retinex processing to a new framework of active measurement and control of the enhancement process called the visual Servo. In the process of testing this new non-linear computational scheme, we have identified that feature visibility limits in the post-enhancement image now simplify to a single signal-to-noise figure of merit: a feature is visible if the feature-background signal difference is greater than the RMS noise level. In other words, a signal-to-noise limit of approximately unity constitutes a lower limit on feature visibility.
This paper proposes a visualcommunication optimization method for human-computer interaction interfaces based on fuzzy logic and wavelet transform, aiming to solve the problems of blurred information, unclear edge de...
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This paper illustrates an alternative approach towards mission control of UAV beyond the usage of radio data link. It is based on bidirectional visualcommunication employing onboard computer vision to recognize the o...
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ISBN:
(纸本)9783030299309;9783030299293
This paper illustrates an alternative approach towards mission control of UAV beyond the usage of radio data link. It is based on bidirectional visualcommunication employing onboard computer vision to recognize the operator's gestures and providing visible feedback to him. This work presents use cases and summarizes the achievements made so far at the Institute of Flight Systems with respect to functional concepts, system architectures, sensor technology, data processing and experimental validation.
When dealing with complex scenes, human cognitive system can get useful information quickly and accurately. This is because that human visual and auditory systems have the important characteristic of selective attenti...
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This paper proposed an assistive device based BCI system to serve persons with severe disability for communication enhancement. Using NeuroSky EEG headset wireless system was employed to acquire the EEG signal and sen...
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ISBN:
(纸本)9789881476821
This paper proposed an assistive device based BCI system to serve persons with severe disability for communication enhancement. Using NeuroSky EEG headset wireless system was employed to acquire the EEG signal and send to a control unit for command generating. Moreover, the proposed system has to concern a beginning user. Neurofeedback training was utilized to train user to control the attention. Moreover, visual feedback can help for teaching the attention creation. The result reported an accuracy of the proposed system with its neurofeedback training and real-time feedback is ranged on 83.3% to 100% higher accuracy than proposed system without feedback. The average time for one command is ranging between 3.28 to 4.82 second. Therefore, the proposed system achieved a high performance that can use in reality. Furthermore, the proposed can apply to assistive device for people with severe disabilities.
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