Segmentation and classification on chest radiography: a systematic survey [0.03%]
胸部X光片的分割和分类：系统性调查研究
Tarun Agrawal,Prakash Choudhary
Tarun Agrawal
Chest radiography (X-ray) is the most common diagnostic method for pulmonary disorders. A trained radiologist is required for interpreting the radiographs. But sometimes, even experienced radiologists can misinterpret the findings. This lea...
A systematic review on application of deep learning in digestive system image processing [0.03%]
深度学习在消化系统图像处理中的应用的系统性评价
Huangming Zhuang,Jixiang Zhang,Fei Liao
Huangming Zhuang
With the advent of the big data era, the application of artificial intelligence represented by deep learning in medicine has become a hot topic. In gastroenterology, deep learning has accomplished remarkable accomplishments in endoscopy, im...
Mohamed Radwan,Stefan Ohrhallinger,Michael Wimmer
Mohamed Radwan
Large-scale unstructured point cloud scenes can be quickly visualized without prior reconstruction by utilizing levels-of-detail structures to load an appropriate subset from out-of-core storage for rendering the current view. However, as s...
Soraia Raupp Musse,Vinicius Jurinic Cassol,Daniel Thalmann
Soraia Raupp Musse
This paper aims to discuss the past, evolution, and new perspectives in crowd simulation. Many work have been produced and published in this area that was launched approximately 30 years ago. In this paper, we re-visited the main aspects of...
Can a humanoid social robot stimulate the interactivity of cognitively impaired elderly? A thorough study based on computer vision methods [0.03%]
一种类人社会机器人能否激发认知障碍老年人的互动行为？基于计算机视觉方法的全面研究
Gauri Tulsulkar,Nidhi Mishra,Nadia Magnenat Thalmann et al.
Gauri Tulsulkar et al.
Social Assistive Robotics is increasingly being used in care settings to provide psychosocial support and interventions for the elderly with cognitive impairments. Most of these social robots have provided timely stimuli to the elderly at h...
Chamin Morikawa,Michihiro Kobayashi,Masaki Satoh et al.
Chamin Morikawa et al.
Image processing and computer vision on mobile devices have a wide range of applications such as digital image enhancement and augmented reality. While images acquired by cameras on mobile devices can be processed with generic image process...
Aspects of visual avatar appearance: self-representation, display type, and uncanny valley [0.03%]
视觉化身外观的方面：自我呈现、展示类型和恐怖谷效应
Daniel Hepperle,Christian Felix Purps,Jonas Deuchler et al.
Daniel Hepperle et al.
The visual representation of human-like entities in virtual worlds is becoming a very important aspect as virtual reality becomes more and more "social". The visual representation of a character's resemblance to a real person and the emotio...
A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets [0.03%]
基于深度学习的计算机视觉多模态研究综述：进展、趋势、应用及数据集
Khaled Bayoudh,Raja Knani,Fayçal Hamdaoui et al.
Khaled Bayoudh et al.
The research progress in multimodal learning has grown rapidly over the last decade in several areas, especially in computer vision. The growing potential of multimodal data streams and deep learning algorithms has contributed to the increa...
Divided Voxels: An efficient algorithm for interactive cutting of deformable objects [0.03%]
分割体素：一种用于交互式切割可变形物体的高效算法
Di Qi,Nicholas Milef,Suvranu De
Di Qi
Efficient algorithms that support dynamic topological updates are necessary for the simulation of progressive interactive cutting of deformable objects. Existing mesh-based techniques suffer from the generation of ill-shaped elements wherea...
A comprehensive survey and deep learning-based approach for human recognition using ear biometric [0.03%]
基于深度学习的耳生物特征识别方法综述及新方法
Aman Kamboj,Rajneesh Rani,Aditya Nigam
Aman Kamboj
Human recognition systems based on biometrics are much in demand due to increasing concerns of security and privacy. The human ear is unique and useful for recognition. It offers numerous advantages over popular biometrics traits face, iris...