Skip to main navigation
Skip to search
Skip to main content
Universidad Adolfo Ibáñez Home
English
Español
Search content at Universidad Adolfo Ibáñez
Home
Profiles
Research units
Projects
Research output
Press/Media
Towards an efficient segmentation algorithm for near-infrared eyes images
Andres Valenzuela
,
Claudia Arellano
, Juan E. Tapia
Business School
Research output
:
Contribution to journal
›
Article
›
peer-review
19
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Towards an efficient segmentation algorithm for near-infrared eyes images'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Facebook
100%
Near-infrared
100%
Segmentation Algorithm
100%
State-of-the-art Techniques
100%
Feature Map
100%
DenseNet
100%
Semantic Segmentation
100%
Growth Rate
50%
Image Segmentation
50%
Eye Tracking
50%
Number of Parameters
50%
Number of Features
50%
Eye Gaze
50%
Virtual Reality
50%
Mask R-CNN
50%
Saliency Detection
50%
Gaze Estimation
50%
Sclera
50%
Segmentation Challenge
50%
Mobile Device Application
50%
DeepLabv3+
50%
Human-computer Interface
50%
Traditional Architecture
50%
Global State
50%
INIS
algorithms
100%
layers
100%
images
100%
eyes
100%
applications
50%
detection
50%
maps
50%
architecture
25%
weight
25%
accuracy
25%
humans
25%
information
25%
growth
25%
competition
25%
reduction
25%
interfaces
25%
devices
25%
computers
25%
efficiency
25%
virtual reality
25%
Computer Science
Image Segmentation
100%
segmentation algorithm
100%
Facebook
66%
DenseNet
66%
Feature Map
66%
Mobile Device
33%
Considerable Number
33%
Virtual Reality
33%
Human Computer Interfaces
33%
Engineering
State-of-the-Art Method
100%
State-of-the-Art Technique
100%
Eye Image
100%
Virtual Reality
100%