Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Steve Seitz"'
Autor:
Anastasia Tkach, Sean Fanello, Christoph Rhemann, Steve Seitz, Sameh Khamis, Ricardo Martin-Brualla, Cem Keskin, Shahram Izadi, Philip Davidson, Adarsh Kowdle, Shuoran Yang, Pavel Pidlypenskyi, Peter Lincoln, Julien Valentin, Jonathan Taylor, Rohit Pandey, Dan B. Goldman
Publikováno v:
ACM Transactions on Graphics. 37:1-14
Motivated by augmented and virtual reality applications such as telepresence, there has been a recent focus in real-time performance capture of humans under motion. However, given the real-time constraint, these systems often suffer from artifacts in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5be8c85e0ede5e17ca9dc735ff84644c
https://doi.org/10.1145/3272127.3275099
https://doi.org/10.1145/3272127.3275099
Every time you sit in front of a TV or monitor, your face is actively illuminated by time-varying patterns of light. This paper proposes to use this time-varying illumination for synthetic relighting of your face with any new illumination condition.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9d800e736b02a7dc4966086aa8a9182
Autor:
Steve Seitz, Andrey Ryabtsev, Soumyadip Sengupta, Shanchuan Lin, Brian Curless, Ira Kemelmacher-Shlizerman
Publikováno v:
CVPR
We introduce a real-time, high-resolution background replacement technique which operates at 30fps in 4K resolution, and 60fps for HD on a modern GPU. Our technique is based on background matting, where an additional frame of the background is captur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6017129ee1a46a46a87ada0396cf804d
Publikováno v:
IEEE Transactions on Image Processing. 25:5145-5157
We present a fully automatic system for ranking domain-specific highlights in unconstrained personal videos by analyzing online edited videos. A novel latent linear ranking model is proposed to handle noisy training data harvested online. Specificall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::049ef85da868ae566ce56cf3d8c31a2a
https://doi.org/10.1109/tip.2016.2601147
https://doi.org/10.1109/tip.2016.2601147
Publikováno v:
3DV
We present an approach for interactively scanning highly reflective objects with a commodity RGBD sensor. In addition to shape, our approach models the surface light field, encoding scene appearance from all directions. By factoring the surface light
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::713cfbd9cf982e7c3fe1eb984564bf64
Publikováno v:
CVPR
We present a system that transforms a monocular video of a soccer game into a moving 3D reconstruction, in which the players and field can be rendered interactively with a 3D viewer or through an Augmented Reality device. At the heart of our paper is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53c8533e7acdb66b17f6e90740581f42
Autor:
Steve Seitz, Aditya Sankar
Publikováno v:
UIST
We propose a novel interactive system to simplify the process of indoor 3D CAD room modeling. Traditional room modeling methods require users to measure room and furniture dimensions, and manually select models that match the scene from large catalog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88bdf42d312f78261d490e31c26ab290
https://doi.org/10.1145/3126594.3126629
https://doi.org/10.1145/3126594.3126629
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 39(11)
We present a novel method to summarize unconstrained videos using salient montages (i.e., a "melange" of frames in the video as shown in Fig. 1, by finding "montageable moments" and identifying the salient people and actions to depict in each montage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce3de6543742da95530649157f58c89d
https://pubmed.ncbi.nlm.nih.gov/27959796
https://pubmed.ncbi.nlm.nih.gov/27959796
Publikováno v:
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a400d37daa3235cec70ba414fd4fe576
https://doi.org/10.1109/cvpr.2010.5540159
https://doi.org/10.1109/cvpr.2010.5540159
Publikováno v:
CVPR
In this paper, we show how to generate a sharp panorama from a set of motion-blurred video frames. Our technique is based on joint global motion estimation and multi-frame deblurring. It also automatically computes the duty cycle of the video, namely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abbdd33dbc9ce70106aa366a5bc90efa
https://doi.org/10.1109/cvpr.2010.5539938
https://doi.org/10.1109/cvpr.2010.5539938