An Exploratory Comparison of the Visual Quality of Virtual Reality Systems Based on Device-Independent Testsets

Manthey, Robert; Ritter, Marc; Heinzig, Manuel; Kowerko, Danny

doi:10.1007/978-3-319-57987-0_11

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Cited by 3 publications

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“…Based on the experience of previous works with synthetic data to analyse different software and hardware systems [4,5], a system was created for automatic synthesising of humanoids, objects, scene environments and activities to produce scenarios of arbitrary structure forming new datasets with exact and well-defined ground truth. Due to the programmable nature of the system shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Synthetic Ground Truth Generation for Testing, Technology Evaluation and Verification (SyntTEV)

Manthey

Thomanek

Roschke

et al. 2018

Electronic Workshops in Computing

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Nowadays, several computer devices are used to visually detect objects, people and activities. Their quality and performance depends on limited datasets created and annotated by error-prone and expensive human handwork. But to reach high quality for complex detection tasks extensive datasets with errorless annotations are needed. To overcome this dilemma we create a system for automatic generation of synthetic ground truth data to allow learning of complex detection tasks as well as testing, verification and evaluation.

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Section: Introductionmentioning

confidence: 99%