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Interactive image segmentation using particle competition and cooperation
(2015-09-28)
Many interactive image processing approaches are based on semi-supervised learning, which employ both labeled and unlabeled data in its training process. In the interactive image segmentation problem, a human specialist ...
Interactive Image Segmentation using Particle Competition and Cooperation
(Ieee, 2015-01-01)
Many interactive image processing approaches are based on semi-supervised learning, which employ both labeled and unlabeled data in its training process. In the interactive image segmentation problem, a human specialist ...
Representation Learning for Image Retrieval through 3D CNN and Manifold Ranking
(2021-01-01)
Despite of the substantial success of Convolutional Neural Networks (CNNs) on many recognition and representation tasks, such models are very reliant on huge amount of data to allow effective training. In order to improve ...
A Robust Restricted Boltzmann Machine for Binary Image Denoising
(Ieee, 2017-01-01)
During the image acquisition process, some level of noise is usually added to the real data mainly due to physical limitations of the acquisition sensor, and also regarding imprecisions during the data transmission and ...
3D markup of radiological images in ePAD, a web-based image annotation tool
(Institute of Electrical and Electronics Engineers – IEEEUniversidade de São Paulo - USPSão Carlos e Ribeirão Preto, 2015-06)
Quantitative and semantic information about medical images are vital parts of a radiological report. However, current image viewing systems do not record it in a format that permits machine interpretation. The ePAD tool ...
Selection and combination of unsupervised learning methods for image retrieval
(2017-06-19)
The evolution of technologies to store and share images has made imperative the need for methods to index and retrieve multimedia information based on visual content. The CBIR (Content-Based Image Retrieval) systems are ...
Using sub-dictionaries for image representation based on the bag-of-visual-words approach
(Institute of Electrical and Electronics Engineers - IEEEIcahn School of Medicine at Mount SinaiNew York, 2014-05)
Bag-of-Visual-Words (BoVW) is a well known approach to represent images for visual recognition and retrieval tasks. This approach represents an image as a histogram of visual words and the dissimilarity between two images ...
SpaceYNet: A Novel Approach to Pose and Depth-Scene Regression Simultaneously
(Ieee, 2020-01-01)
One of the fundamental dilemmas of mobile robotics is the use of sensory information to locate an agent in geographic space. In this paper, we developed a global relocation system to predict the robot's position and avoid ...
SpaceYNet: A Novel Approach to Pose and Depth-Scene Regression Simultaneously
(2020-07-01)
One of the fundamental dilemmas of mobile robotics is the use of sensory information to locate an agent in geographic space. In this paper, we developed a global relocation system to predict the robot's position and avoid ...
Handwritten feature descriptor methods applied to fruit classification
(2018-01-01)
Several works have presented distinct ways to compute feature descriptor from different applications and domains. A main issue in Computer Vision systems is how to choose the best descriptor for specific domains. Usually, ...