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Found 10 papers, 1 papers with code
Towards Real Time Egocentric Segment Captioning for The Blind and Visually Impaired in RGB-D Theatre Images
In recent years, image captioning and segmentation have emerged as crucial tasks in computer vision, with applications ranging from autonomous driving to content analysis.
TS-RGBD Dataset: a Novel Dataset for Theatre Scenes Description for People with Visual Impairments
We test image captioning models on our dataset as well as some skeleton-based human action recognition models in order to extend the range of environment types where a visually disabled person can be, by detecting human actions and textually describing appearances of regions of interest in theatre scenes.
Object Recognition System on a Tactile Device for Visually Impaired
People with visual impairments face numerous challenges when interacting with their environment.
Theater Aid System for the Visually Impaired Through Transfer Learning of Spatio-Temporal Graph Convolution Networks
The aim of this research is to recognize human actions performed on stage to aid visually impaired and blind individuals.
A Computational Model for Machine Thinking
A machine thinking model is proposed in this report based on recent advances of computer vision and the recent results of neuroscience devoted to brain understanding.
Semantic Labeling of Human Action For Visually Impaired And Blind People Scene Interaction
The aim of this work is to contribute to the development of a tactile device for visually impaired and blind persons in order to let them to understand actions of the surrounding people and to interact with them.
Visual Place Representation and Recognition from Depth Images
This work proposes a new method for place recognition based on the scene architecture.
From depth image to semantic scene synthesis through point cloud classification and labeling: Application to assistive systems
The aim of this work is to provide a semantic scene synthesis from depth image.
Towards 3D Visualization of Video from Frames
To do this, features, associated to moving rigid objects in 3D, are extracted in frames and matched.
An Image Analogies Approach for Multi-Scale Contour Detection
Given such a reference image, we present a new method based on this expertise to locate contours of a query image in the same way that it is done for the reference (i. e by analogy).
