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Erik Hanson

dblp:43/3755 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2004
0009-0003-0437-5985ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Computer animation and physical simulation · 85% Geometric modeling and processing · 15%
Artificial intelligence
1 paper
3D vision · 100%
Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
3d face reconstruction
0.012001
Cloning Your Own Face with a Desktop Camera · ICCV 2001
Computer animation and physical simulation
facial animation
0.012001
Cloning Your Own Face with a Desktop Camera · ICCV 2001
Interaction techniques and input › input device › 3d input device
6-DOF input device
0.011999
The Videomouse: A Camera-Based Multi-degree-of-freedom Input Device · ACM Symposium on User Interface Software and Technology 1999
Geometric modeling and processing
3d face modeling
0.012004
Robust and Rapid Generation of Animated Faces from Video Images: A Model-Based Modeling Approach · Int. J. Comput. Vis. 2004
Interaction techniques and input › spatial interaction › 3d interaction
3d manipulation
0.011999
The Videomouse: A Camera-Based Multi-degree-of-freedom Input Device · ACM Symposium on User Interface Software and Technology 1999

Methods — techniques the papers use, named apart from their topics

parametric face fitting · 0.1manual landmark annotation · 0.1model-based modeling · 0.0real-time vision algorithm · 0.0computer vision · 0.0
YearPublicationVenuePosition
2004 Robust and Rapid Generation of Animated Faces from Video Images: A Model-Based Modeling Approach
Zhengyou Zhang, Zicheng Liu 0001, Dennis Adler, Michael F. Cohen, Erik Hanson, Ying Shan
Int. J. Comput. Vis.5
2001 Cloning Your Own Face with a Desktop Camera
abstract
We have developed an easy and cost-effective system that constructs textured 3D animated face models from videos with minimal user interaction. Our system first takes, with an ordinary video camera, images of a face of a person sitting in front of the camera turning the head from one side to the other. After five manual clicks on two images to tell the system where the eye corners, nose top and mouth corners are, the system automatically generates a realistic looking 3D human head model and the constructed model can be animated immediately (different poses, facial expressions and talking). A user, with a PC and a video camera, can use our system to generate hisher face model in a few minutes. The face model can then be imported in hisher favorite game, and the user sees themselves and their friends take part in the game they are playing. We will demonstrate the system on a laptop computer live at the conference, and participants can try it to model their own faces.
Zhengyou Zhang, Zicheng Liu 0001, Dennis Adler, Michael F. Cohen, Erik Hanson, Ying Shan
ICCV5
1999 The Videomouse: A Camera-Based Multi-degree-of-freedom Input Device
abstract
The VideoMouse is a mouse that uses a camera as its input sensor. A real-time vision algorithm determines the six degree-of-freedom mouse posture, consisting of 2D motion, tilt in the forward/back and left/right axes, rotation of the mouse about its vertical axis, and some limited height sensing. Thus, a familiar 2D device can be extended for three-dimensional manipulation, while remaining suitable for standard 2D GUI tasks. We describe techniques for mouse functionality, 3D manipulation, navigating large 2D spaces, and using the camera for lightweight scanning tasks.
Ken Hinckley, Mike Sinclair, Erik Hanson, Richard Szeliski, Matthew Conway
ACM Symposium on User Interface Software and Technology3