Publication statistics

Pub. period:2008-2012
Pub. count:4
Number of co-authors:13



Co-authors

Number of publications with 3 favourite co-authors:

David Salesin:2
Ankit Gupta:2
Maneesh Agrawala:2

 

 

Productive colleagues

Brian Curless's 3 most productive colleagues in number of publications:

Maneesh Agrawala:36
Michael F. Cohen:27
Michael Cohen:19
 
 
 

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Brian Curless

 

Publications by Brian Curless (bibliography)

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2012
 
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Gupta, Ankit, Fox, Dieter, Curless, Brian and Cohen, Michael (2012): DuploTrack: a real-time system for authoring and guiding Duplo block assembly. In: Proceedings of the 2012 ACM Symposium on User Interface Software and Technology 2012. pp. 389-402. Available online

We demonstrate a realtime system which infers and tracks the assembly process of a snap-together block model using a Kinect sensor. The inference enables us to build a virtual replica of the model at every step. Tracking enables us to provide context specific visual feedback on a screen by augmenting the rendered virtual model aligned with the physical model. The system allows users to author a new model and uses the inferred assembly process to guide its recreation by others. We propose a novel way of assembly guidance where the next block to be added is rendered in blinking mode with the tracked virtual model on screen. The system is also able to detect any mistakes made and helps correct them by providing appropriate feedback. We focus on assemblies of Duplo blocks. We discuss the shortcomings of existing methods of guidance -- static figures or recorded videos -- and demonstrate how our method avoids those shortcomings. We also report on a user study to compare our system with standard figure-based guidance methods found in user manuals. The results of the user study suggest that our method is able to aid users' structural perception of the model better, leads to fewer assembly errors, and reduces model construction time.

© All rights reserved Gupta et al. and/or ACM Press

 
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Held, Robert, Gupta, Ankit, Curless, Brian and Agrawala, Maneesh (2012): 3D puppetry: a Kinect-based interface for 3D animation. In: Proceedings of the 2012 ACM Symposium on User Interface Software and Technology 2012. pp. 423-434. Available online

We present a system for producing 3D animations using physical objects (i.e., puppets) as input. Puppeteers can load 3D models of familiar rigid objects, including toys, into our system and use them as puppets for an animation. During a performance, the puppeteer physically manipulates these puppets in front of a Kinect depth sensor. Our system uses a combination of image-feature matching and 3D shape matching to identify and track the physical puppets. It then renders the corresponding 3D models into a virtual set. Our system operates in real time so that the puppeteer can immediately see the resulting animation and make adjustments on the fly. It also provides 6D virtual camera \rev{and lighting} controls, which the puppeteer can adjust before, during, or after a performance. Finally our system supports layered animations to help puppeteers produce animations in which several characters move at the same time. We demonstrate the accessibility of our system with a variety of animations created by puppeteers with no prior animation experience.

© All rights reserved Held et al. and/or ACM Press

2009
 
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Zheng, Ke Colin, Colburn, Alex, Agarwala, Aseem, Agrawala, Maneesh, Salesin, David, Curless, Brian and Cohen, Michael F. (2009): Parallax photography: creating 3D cinematic effects from stills. In: Proceedings of the 2009 Conference on Graphics Interface 2009. pp. 111-118. Available online

We present an approach to convert a small portion of a light field with extracted depth information into a cinematic effect with simulated, smooth camera motion that exhibits a sense of 3D parallax. We develop a taxonomy of the cinematic conventions of these effects, distilled from observations of documentary film footage and organized by the number of subjects of interest in the scene. We present an automatic, content-aware approach to apply these cinematic conventions to an input light field. A face detector identifies subjects of interest. We then optimize for a camera path that conforms to a cinematic convention, maximizes apparent parallax, and avoids missing information in the input. We describe a GPU-accelerated, temporally coherent rendering algorithm that allows users to create more complex camera moves interactively, while experimenting with effects such as focal length, depth of field, and selective, depth-based desaturation or brightening. We evaluate and demonstrate our approach on a wide variety of scenes and present a user study that compares our 3D cinematic effects to their 2D counterparts.

© All rights reserved Zheng et al. and/or their publisher

2008
 
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Goldman, Dan B., Gonterman, Chris, Curless, Brian, Salesin, David and Seitz, Steven M. (2008): Video object annotation, navigation, and composition. In: Cousins, Steve B. and Beaudouin-Lafon, Michel (eds.) Proceedings of the 21st Annual ACM Symposium on User Interface Software and Technology October 19-22, 2008, Monterey, CA, USA. pp. 3-12. Available online

 
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