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» Learning to localize detected objects
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MM
2006
ACM
152views Multimedia» more  MM 2006»
15 years 11 months ago
Local image representations using pruned salient points with applications to CBIR
Salient points are locations in an image where there is a significant variation with respect to a chosen image feature. Since the set of salient points in an image capture import...
Hui Zhang, Rouhollah Rahmani, Sharath R. Cholleti,...
CVPR
2009
IEEE
1517views Computer Vision» more  CVPR 2009»
17 years 7 days ago
Linear Solution to Scale and Rotation Invariant Object Matching
Images of an object undergoing ego- or camera- motion often appear to be scaled, rotated, and deformed versions of each other. To detect and match such distorted patterns to a s...
Hao Jiang, Stella X. Yu
148
Voted
BMCBI
2006
120views more  BMCBI 2006»
15 years 5 months ago
Optimizing amino acid substitution matrices with a local alignment kernel
Background: Detecting remote homologies by direct comparison of protein sequences remains a challenging task. We had previously developed a similarity score between sequences, cal...
Hiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu
146
Voted
ICMCS
2005
IEEE
153views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Improved semantic region labeling based on scene context
Semantic region labeling in outdoor scenes, e.g., identifying sky, grass, foliage, water, and snow, facilitates content-based image retrieval, organization, and enhancement. A maj...
Matthew R. Boutell, Jiebo Luo, Christopher M. Brow...
143
Voted
DAGM
2001
Springer
15 years 9 months ago
Placing Arbitrary Objects in a Real Scene Using a Color Cube for Pose Estimation
We describe an Augmented Reality system using the corners of a color cube for camera calibration. In the augmented image the cube is replaced by a computer generated virtual object...
Jochen Schmidt, Ingo Scholz, Heinrich Niemann