AIMC Topic: Depth Perception
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Embedded solution to detect and classify head level objects using stereo vision for visually impaired people with audio feedback.
Scientific reports
May 19, 2025
This work presents an embedded solution for detecting and classifying head-level objects using stereo vision to assist blind individuals. A custom dataset was created, featuring five classes of head-level objects, selected based on a survey of visual...
Depth Perception Based on the Interaction of Binocular Disparity and Motion Parallax Cues in Three-Dimensional Space.
Sensors (Basel, Switzerland)
May 17, 2025
BACKGROUND AND OBJECTIVES: Depth perception of the human visual system in three-dimensional (3D) space plays an important role in human-computer interaction and artificial intelligence (AI) areas. It mainly employs binocular disparity and motion para...
Assessment of autostereoscopic perception using artificial intelligence-enhanced face tracking technology.
PloS one
Oct 17, 2024
PURPOSE: Stereopsis, the ability of humans to perceive depth through distinct visual stimuli in each eye, is foundational to autostereoscopic technology in computing. However, ensuring stable head position during assessments has been challenging. Thi...
No-reference stereoscopic image quality assessment based on binocular collaboration.
Neural networks : the official journal of the International Neural Network Society
Sep 24, 2024
Stereoscopic images typically consist of left and right views along with depth information. Assessing the quality of stereoscopic/3D images (SIQA) is often more complex than that of 2D images due to scene disparities between the left and right views ...
DMGNet: Depth mask guiding network for RGB-D salient object detection.
Neural networks : the official journal of the International Neural Network Society
Sep 24, 2024
Though depth images can provide supplementary spatial structural cues for salient object detection (SOD) task, inappropriate utilization of depth features may introduce noisy or misleading features, which may greatly destroy SOD performance. To addre...
A Photoelectric Spiking Neuron for Visual Depth Perception.
Advanced materials (Deerfield Beach, Fla.)
Apr 11, 2022
The biological visual system encodes optical information into spikes and processes them by the neural network, which enables the perception with high throughput of visual processing with ultralow energy budget. This has inspired a wide spectrum of de...
Proof of Concept of an Assistive Robotic Arm Control Using Artificial Stereovision and Eye-Tracking.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 30, 2019
Assistive robotic arms have become popular to help users with upper limb disabilities achieve autonomy in their daily tasks, such as drinking and grasping objects in general. Usually, these robotic arms are controlled with an adapted joystick. Joysti...
A Biologically Inspired Approach for Robot Depth Estimation.
Computational intelligence and neuroscience
Aug 23, 2018
Aimed at building autonomous service robots, reasoning, perception, and action should be properly integrated. In this paper, the depth cue has been analysed as an early stage given its importance for robotic tasks. So, from neuroscience findings, a h...
Biologically Inspired Intensity and Depth Image Edge Extraction.
IEEE transactions on neural networks and learning systems
Feb 20, 2018
In recent years, artificial vision research has moved from focusing on the use of only intensity images to include using depth images, or RGB-D combinations due to the recent development of low-cost depth cameras. However, depth images require a lot ...
Depth Sensing for Improved Control of Lower Limb Prostheses.
IEEE transactions on bio-medical engineering
Jun 22, 2015
Powered lower limb prostheses have potential to improve the quality of life of individuals with amputations by enabling all daily activities. However, seamless ambulation mode recognition is necessary to achieve this goal and is not yet a clinical re...
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