Realizing Half-Diminished Reality from Video Stream of Manipulating Objects

09/25/2017
by   Hayato Okumoto, et al.
0

When we watch a video, in which human hands manipulate objects, these hands may obscure some parts of those objects. We are willing to make clear how the objects are manipulated by making the image of hands semi-transparent, and showing the complete images of the hands and the object. By carefully choosing a Half-Diminished Reality method, this paper proposes a method that can process the video in real time and verifies that the proposed method works well.

READ FULL TEXT

page 3

page 4

page 5

research
06/11/2021

Small Object Detection for Near Real-Time Egocentric Perception in a Manual Assembly Scenario

Detecting small objects in video streams of head-worn augmented reality ...
research
03/31/2020

Segmenting Transparent Objects in the Wild

Transparent objects such as windows and bottles made by glass widely exi...
research
05/28/2020

Augmenting reality: On the shared history of perceptual illusion and video projection mapping

Perceptual illusions based on the spatial correspondence between objects...
research
07/11/2022

A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation

Transparent objects are widely used in our daily lives and therefore rob...
research
06/27/2019

Automatically Extract the Semi-transparent Motion-blurred Hand from a Single Image

When we use video chat, video game, or other video applications, motion-...
research
05/14/2021

Omnimatte: Associating Objects and Their Effects in Video

Computer vision is increasingly effective at segmenting objects in image...
research
03/02/2017

Estimating the resolution of real images

Image resolvability is the primary concern in imaging. This paper report...

Please sign up or login with your details

Forgot password? Click here to reset