GPU implementation of 3D object selection by conic volume techniques in virtual environments

2010 ◽  
Author(s):  
Tobias Rick ◽  
Anette von Kapri ◽  
Torsten Kuhlen
Keyword(s):  
Virtual Environments ◽  
3D Object ◽  
Object Selection ◽  
Gpu Implementation

scholarly journals A survey of 3D object selection techniques for virtual environments

2013 ◽  
Vol 37 (3) ◽  
pp. 121-136 ◽  
Author(s):  
Ferran Argelaguet ◽  
Carlos Andujar
Keyword(s):  
Virtual Environments ◽  
3D Object ◽  
Object Selection

Autonomous Visualization of Real Environments for Telepresence Applications

1997 ◽  
Vol 6 (6) ◽  
pp. 645-657 ◽  
Author(s):  
Robert Geist ◽  
Todd Stinson ◽  
Robert Schalkoff ◽  
Sabri Gurbuz
Keyword(s):  
Virtual Environments ◽  
Structured Light ◽  
Surface Patch ◽  
Future Research ◽  
3D Object ◽  
Unstructured Environments ◽  
Direct Estimation ◽  
Active Laser ◽  
3D Surface ◽  
Object Models

The autonomous, noncontact creation of virtual environments from existing, real environments is described. The technique uses structured light to provide direct estimation of 3D surface patch parameters. Active (laser) cameras are used to determine 3D object models, and passive camera images are used to generate color and texture. This process, termed virtualization, has immediate application to providing telepresence in previously unmodeled or unstructured environments. An example of the process is shown and directions for future research are indicated.

scholarly journals Designing Ray-Pointing using Real hand and Touch-based in Handheld Augmented Reality for Object Selection

2021 ◽  
Vol 11 (2) ◽  
pp. 95-102
Author(s):  
Nur Ameerah Abdul Halim ◽  
Ajune Wanis Ismail
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Mixed Reality ◽  
Touch Screen ◽  
Conventional Technique ◽  
Handheld Devices ◽  
Information Representation ◽  
3D Object ◽  
Object Selection ◽  
Real Hand

Augmented Reality (AR) have been widely explored worldwide for their potential as a technology that enhances information representation. As technology progresses, smartphones (handheld devices) now have sophisticated processors and cameras for capturing static photographs and video, as well as a variety of sensors for tracking the user's position, orientation, and motion. Hence, this paper would discuss a finger-ray pointing technique in real-time for interaction in handheld AR and comparing the technique with the conventional technique in handheld, touch-screen interaction. The aim of this paper is to explore the ray pointing interaction in handheld AR for 3D object selection. Previous works in handheld AR and also covers Mixed Reality (MR) have been recapped.

Enhanced Visual-Attention Model for Perceptually Improved 3D Object Modeling in Virtual Environments

3D Research ◽  
2016 ◽  
Vol 7 (4) ◽  
Author(s):  
Maude Chagnon-Forget ◽  
Ghazal Rouhafzay ◽  
Ana-Maria Cretu ◽  
Stéphane Bouchard
Keyword(s):  
Visual Attention ◽  
Virtual Environments ◽  
Object Modeling ◽  
Visual Attention Model ◽  
3D Object ◽  
Attention Model ◽  
3D Object Modeling

An Efficient and Feasible Color-Based Technique for Object Picking

2014 ◽  
Vol 644-650 ◽  
pp. 3988-3993
Author(s):  
Zhong Lan Luo ◽  
Kai Lu ◽  
Xiao Ping Wang
Keyword(s):  
Human Computer Interaction ◽  
Virtual World ◽  
Target Object ◽  
Ray Casting ◽  
Interaction Technique ◽  
3D Object ◽  
Object Selection ◽  
3D Virtual World ◽  
3D Scene ◽  
3D Applications

3D object picking, or 3D object selection, is a very important human-computer interaction technique. By touching the object in the 2D screen, users can change some properties of the corresponding object in the 3D virtual world. 3D object picking is widely studied and applied in the following three situations: 1) the target object is significantly occluded; 2) the target object has small size; 3) and the target object is in a dynamically changing location. Since most previous 3D object picking techniques were developed and tested in static or negligent contexts, many 3D applications tended to incorporate small size and dynamic objects as part of their typical interaction, which doesn’t meet the needs of the development of today’s touch screen technology. Thus, this paper proposes a new color-based picking technique in 3D scene to solve this problem. We provide two different solutions for different application scenes: for the target object whose surface has a fixed color, we take the fixed color as the picking tag; as to the object whose surface has customized texture, we regard the invisible color package set by us as the picking tag. The evaluation shows that we have obtained significant increases of the picking accuracy in many different scenes when compared with the improved ray-casting picking technique.

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