An Efficient Diminished Reality Approach Using Real-Time Surface Reconstruction

Kunert, Christian; Schwandt, Tobias; Broll, Wolfgang

doi:10.1109/cw.2019.00010

Cited by 7 publications

(2 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…( 6) The camera image and the completion image are combined to create and display a camera image in which DR is performed. (7) Steps (3) to ( 6) are repeated per frame.…”

Section: Overviewmentioning

confidence: 99%

See 1 more Smart Citation

Real-Time Diminished Reality Application Specifying Target Based on 3D Region

Kobayashi,

Takahashi

2024

Virtual Worlds

View full text Add to dashboard Cite

Diminished reality (DR) is a technology in which a background image is overwritten on a real object to make it appear as if the object has been removed from real space. This paper presents a real-time DR application that employs deep learning. A DR application can remove objects inside a 3D region defined by a user in images captured using a smartphone. By specifying the 3D region containing the target object to be removed, DR can be realized for targets with various shapes and sizes, and the specified target can be removed even if the viewpoint changes. To achieve fast and accurate DR, a suitable network was employed based on the experimental results. Additionally, the loss function during the training process was improved to enhance completion accuracy. Then, the operation of the DR application at 10 fps was verified using a smartphone and a laptop computer.

show abstract

“…( 6) The camera image and the completion image are combined to create and display a camera image in which DR is performed. (7) Steps (3) to ( 6) are repeated per frame.…”

Section: Overviewmentioning

confidence: 99%

“…Studies using both observation-type and completion-type methods have also been reported [7][8][9]. In these studies, the observation-type method used builds a 3D model of a landscape without objects that need to be removed by moving the camera.…”

Section: Introductionmentioning

confidence: 99%