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» 3D Reconstruction Using Labeled Image Regions
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ICCV
1995
IEEE
15 years 1 months ago
Recognition Using Region Correspondences
Recognition systems attempt to recover information about the identity of observed objects and their location in the environment. A fundamental problem in recognition is pose estima...
Ronen Basri, David W. Jacobs
ICPR
2008
IEEE
15 years 11 months ago
GPU-boosted online image matching
Matching feature points between images is a key point in many Computer Vision tasks. As the number of images increases, this rapidly becomes a bottleneck. We here present how to u...
Alexandre Chariot, Renaud Keriven
CIARP
2007
Springer
15 years 4 months ago
Image Segmentation Using Automatic Seeded Region Growing and Instance-Based Learning
Segmentation through seeded region growing is widely used because it is fast, robust and free of tuning parameters. However, the seeded region growing algorithm requires an automat...
Octavio Gómez, Jesús A. Gonzá...
ICCV
1998
IEEE
15 years 12 months ago
Plenoptic Image Editing
This paper presents a new class of interactive image editing operations designed to maintain consistency between multiple images of a physical 3D scene. The distinguishing feature...
Steven M. Seitz, Kiriakos N. Kutulakos
IPMI
2009
Springer
15 years 10 months ago
Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation
Abstract. We propose a novel method, fMRI-Informed Regional Estimation (FIRE), which utilizes information from fMRI in E/MEG source reconstruction. FIRE takes advantage of the spat...
Aapo Nummenmaa, Matti Hämäläinen, P...