Matlab-Projects, Author at MATLAB PROJECTS

Recipe recognition with large multimodal food dataset

Posted on February 1, 2016 by Matlab-Projects |

This paper deals with automatic systems for image recipe recognition. For this purpose, we compare and evaluate leading vision-based and text-based technologies on a new very large multimodal dataset (UPMC Food-101) containing…

Leveraging Context to Support Automated Food Recognition in Restaurants

Posted on February 1, 2016 by Matlab-Projects |

The pervasiveness of mobile cameras has resulted in a dramatic increase in food photos, which are pictures reflecting what people eat. In this paper, we study how taking pictures of what we…

A probabilistic model for food image recognition in restaurants

Posted on February 1, 2016 by Matlab-Projects |

A large amount of food photos are taken in restaurants for diverse reasons. This dish recognitionproblem is very challenging, due to different cuisines, cooking styles and the intrinsic difficulty of modeling food from its visual…

Food image recognition using deep convolutional network with pre-training and fine-tuning

Posted on February 1, 2016 by Matlab-Projects |

In this paper, we examined the effectiveness of deep convolutional neural network (DCNN) for foodphoto recognition task. Food recognition is a kind of fine-grained visual recognition which is relatively harder problem than conventional image recognition. To tackle this problem,…

DietCam: Multi-View Food Recognition Using a Multi-Kernel SVM

Posted on February 1, 2016 by Matlab-Projects |

Food recognition is a key component in evaluation of everyday food intakes, and its challenge is due to intraclass variation. In this paper, we present an automatic food classification method, DietCam, which specifically addresses the variation…

Parsing based on Parselets: A Unified Deformable Mixture Model for Human Parsing

Posted on February 1, 2016 by Matlab-Projects |

Human parsing, namely partitioning the human body into semantic regions, has drawn much attention recently for its wide applications in human-centric analysis. Previous works often consider solving the problem of…

Automated lesion border detection of dermoscopy images using spectral clustering

Posted on February 1, 2016 by Matlab-Projects |

Skin lesion segmentation is one of the most important steps for automated early skin cancer detection since the accuracy of the following steps significantly depends on it. In this paper…

Smart skin of self-powered hair cell flow sensors for sensing hydrodynamic flow phenomena

Posted on February 1, 2016 by Matlab-Projects |

In nature, there exist numerous and diverse, highly sensitive and well-evolved biological hair cell sensors which work on the principles of mechanotransduction, serving various sensing needs. This work presents a flexible biomimetic…

An Unsupervised Hair Segmentation and Counting System in Microscopy Images

Posted on February 1, 2016 by Matlab-Projects |

This paper focuses on the development of medical software for clinical applications using advanced image processing algorithms. Three critical issues of hair segmentation and counting are addressed in this paper. First, the…

Spatio-temporal flow pattern observations using bio-inspired hair flow sensors

Posted on February 1, 2016 by Matlab-Projects |

In nature, sensing is a fundamental property of virtually all living creatures. For many insects airflowpatterns, as observed by means of their hair-sensors, carry highly valuable information exposing the sources of…