Interactive shadow analysis for camera heading in outdoor images

Clements, Matthew; Zakhor, Avideh

doi:10.1109/icip.2014.7025681

Cited by 2 publications

(2 citation statements)

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“…Liu et al ( [10]) proposed an approach for tracking outdoor illumination variations by analysing feature points extracted from precomputed video frames, based on GPS coordinates and local time. Clements et al ( [11]) built a model of the sun-earth system to determine all shadows possible at a given approximate latitude, and compare shadows within a query to those possible under the model to determine illumination and camera orientation. The points of interest of each frame are described manually by user interaction.…”

Section: Previous Workmentioning

confidence: 99%

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Estimating Illumination Direction for Augmented Reality in Real-Time by using Low-Cost Sensors

Soulier

Selzer²,

Larrea³

2017

JC&ST

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In recent years, Augmented Reality has become a very popular topic, both as a research and commercial field. This trend has originated with the use of mobile devices as computational core and display. The appearance of virtual objects and their interaction with the real world is a key element in the success of an Augmented Reality software. A common issue in this type of software is the visual inconsistency between the virtual and real objects due to wrong illumination. Although illumination is a common research topic in Computer Graphics, few studies have been made about real time estimation of illumination direction. In this work we present a low-cost approach to detect the direction of the environment illumination, allowing the illumination of virtual objects according to the real light of the ambient, improving the integration of the scene. Our solution is open-source, based on Arduino hardware and the presented system was developed on Android.

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Section: Previous Workmentioning

confidence: 99%

“…Some progress has been made towards detecting the illumination direction by using image processing algorithms ( [10,11,12,13,14,15]). Liu et al ( [10]) proposed an approach for tracking outdoor illumination variations by analysing feature points extracted from precomputed video frames, based on GPS coordinates and local time.…”

Section: Previous Workmentioning

confidence: 99%