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SMI
2008
IEEE
181views Image Analysis» more  SMI 2008»
15 years 11 months ago
SHREC - 08 entry: Local 2D visual features for CAD Model retrieval
A local shape feature has an advantage in dealing with deformable or articulated 3D models. We evaluate the performance of our local, 2D visual features and their integration meth...
Kunio Osada, Takahiko Furuya, Ryutarou Ohbuchi
3DPVT
2006
IEEE
211views Visualization» more  3DPVT 2006»
15 years 11 months ago
Integrating LiDAR, Aerial Image and Ground Images for Complete Urban Building Modeling
This paper presents a hybrid modeling system that fuses LiDAR data, an aerial image and ground view images for rapid creation of accurate building models. Outlines for complex bui...
Jinhui Hu, Suya You, Ulrich Neumann
173
Voted
ICCV
2007
IEEE
16 years 7 months ago
Interactive Search for Image Categories by Mental Matching
Traditional image retrieval methods require a "query image" to initiate a search for members of an image category. However, when the image database is unstructured, and ...
Marin Ferecatu, Donald Geman
ICCV
2007
IEEE
16 years 7 months ago
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Mali...
ICIP
2010
IEEE
15 years 3 months ago
Monocular Extraction of 2.1D Sketch
The 2.1D sketch is a layered representation of occluding and occluded surfaces of the scene. Extracting the 2.1D sketch from a single image is a difficult and important problem ar...
Mohamed Amer, Raviv Raich, Sinisa Todorovic