2000 - Fellow of Alfred P. Sloan Foundation
His main research concerns Artificial intelligence, Computer vision, Computer graphics, Iterative reconstruction and Pixel. Artificial intelligence is frequently linked to Sequence in his study. His research on Computer vision frequently connects to adjacent areas such as Algorithm.
His Computer graphics study incorporates themes from 3d scanning, Parallelism, Sensor fusion and Polygon. The study incorporates disciplines such as Image resolution, Data mining, Matching, Cluster analysis and Stereopsis in addition to Iterative reconstruction. His Pixel research includes themes of Bayesian framework, Poisson image editing, Image stitching and Feature extraction, Pattern recognition.
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Computer graphics, Iterative reconstruction and Rendering. Within one scientific family, Brian Curless focuses on topics pertaining to Surface reconstruction under Artificial intelligence, and may sometimes address concerns connected to Planar. His Computer vision study is mostly concerned with Image-based modeling and rendering, Object, Ground truth, 3D reconstruction and Image.
Brian Curless has included themes like Augmented reality and Visualization in his Computer graphics study. The various areas that he examines in his Iterative reconstruction study include Stereopsis, Photometric stereo, Image resolution and Cluster analysis. His research integrates issues of Feature extraction and Pattern recognition in his study of Pixel.
His primary scientific interests are in Artificial intelligence, Computer vision, Ground truth, Domain and Polygon mesh. His work on Augmented reality, Image warping and Face as part of general Artificial intelligence study is frequently linked to Desk and Network on, bridging the gap between disciplines. His Augmented reality research integrates issues from Depth map, 3D reconstruction and Computer graphics.
His Computer vision research is multidisciplinary, incorporating perspectives in Light stage and Alpha. His research integrates issues of Linear regression and Data collection in his study of Ground truth. His studies in Polygon mesh integrate themes in fields like Image synthesis, Animation and View synthesis, Rendering.
His primary areas of investigation include Artificial intelligence, Computer vision, Ground truth, Augmented reality and Image segmentation. His work on Resolution as part of general Artificial intelligence study is frequently connected to Domain, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Brian Curless performs integrative study on Computer vision and Large set.
His Ground truth study incorporates themes from Depth map, 3D reconstruction and Iterative reconstruction. His studies deal with areas such as Character animation, Silhouette, Computer graphics and Image warping as well as Augmented reality. Brian Curless combines Image segmentation and Bridge in his research.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A volumetric method for building complex models from range images
Brian Curless;Marc Levoy.
international conference on computer graphics and interactive techniques (1996)
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
S.M. Seitz;B. Curless;J. Diebel;D. Scharstein.
computer vision and pattern recognition (2006)
The digital Michelangelo project: 3D scanning of large statues
Marc Levoy;Kari Pulli;Brian Curless;Szymon Rusinkiewicz.
international conference on computer graphics and interactive techniques (2000)
Building Rome in a day
Sameer Agarwal;Yasutaka Furukawa;Noah Snavely;Ian Simon.
Communications of The ACM (2011)
Aaron Hertzmann;Charles E. Jacobs;Nuria Oliver;Brian Curless.
international conference on computer graphics and interactive techniques (2001)
The space of human body shapes: reconstruction and parameterization from range scans
Brett Allen;Brian Curless;Zoran Popović.
international conference on computer graphics and interactive techniques (2003)
Interactive digital photomontage
Aseem Agarwala;Mira Dontcheva;Maneesh Agrawala;Steven Drucker.
international conference on computer graphics and interactive techniques (2004)
A Bayesian approach to digital matting
Yung-Yu Chuang;B. Curless;D.H. Salesin;R. Szeliski.
computer vision and pattern recognition (2001)
Multicore bundle adjustment
Changchang Wu;Sameer Agarwal;Brian Curless;Steven M. Seitz.
computer vision and pattern recognition (2011)
Towards Internet-scale multi-view stereo
Yasutaka Furukawa;Brian Curless;Steven M. Seitz;Richard Szeliski.
computer vision and pattern recognition (2010)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: