Light Invariant Real-Time Robust Hand Gesture Recognition

Ankit Chaudhary; J.L. Raheja

doi:10.1016/j.ijleo.2017.11.158

Light Invariant Real-Time Robust Hand Gesture Recognition

Ankit Chaudhary
, J.L. Raheja

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Optik
Volume	159
DOIs	https://doi.org/10.1016/j.ijleo.2017.11.158
State	Published - Dec 1 2017
Externally published	Yes

Disciplines

Physics
Optics
Artificial Intelligence and Robotics

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10.1016/j.ijleo.2017.11.158License: Unspecified

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@article{e190feed319840c3884acbacb83dacde,

title = "Light Invariant Real-Time Robust Hand Gesture Recognition",

author = "Ankit Chaudhary and J.L. Raheja",

note = "Computer vision has spread over different domains to facilitate difficult operations. It works as the artificial eye for many industrial applications to observe elements, process, automation and to find defects.",

year = "2017",

month = dec,

day = "1",

doi = "10.1016/j.ijleo.2017.11.158",

language = "American English",

volume = "159",

journal = "Optik",

}

TY - JOUR

T1 - Light Invariant Real-Time Robust Hand Gesture Recognition

AU - Chaudhary, Ankit

AU - Raheja, J.L.

N1 - Computer vision has spread over different domains to facilitate difficult operations. It works as the artificial eye for many industrial applications to observe elements, process, automation and to find defects.

PY - 2017/12/1

Y1 - 2017/12/1

UR - https://www.sciencedirect.com/science/article/pii/S0030402617315784

U2 - 10.1016/j.ijleo.2017.11.158

DO - 10.1016/j.ijleo.2017.11.158

M3 - Article

VL - 159

JO - Optik

JF - Optik

ER -

Light Invariant Real-Time Robust Hand Gesture Recognition

Disciplines

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