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TIP
2010
312views more  TIP 2010»
13 years 6 months ago
A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression
—Salient areas in natural scenes are generally regarded as areas which the human eye will typically focus on, and finding these areas is the key step in object detection. In com...
Chenlei Guo, Liming Zhang
DAGM
2005
Springer
14 years 1 months ago
6D-Vision: Fusion of Stereo and Motion for Robust Environment Perception
Obstacle avoidance is one of the most important challenges for mobile robots as well as future vision based driver assistance systems. This task requires a precise extraction of de...
Uwe Franke, Clemens Rabe, Hernán Badino, St...
ICVS
2009
Springer
14 years 2 months ago
Learning Objects and Grasp Affordances through Autonomous Exploration
Abstract. We describe a system for autonomous learning of visual object representations and their grasp affordances on a robot-vision system. It segments objects by grasping and mo...
Dirk Kraft, Renaud Detry, Nicolas Pugeault, Emre B...
IJCV
2008
151views more  IJCV 2008»
13 years 7 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
CVPR
2009
IEEE
15 years 2 months ago
Granularity-tunable Gradients Partition (GGP) Descriptors for Human Detection
This paper proposes a novel descriptor, granularitytunable gradients partition (GGP), for human detection. The concept granularity is used to define the spatial and angular unce...
Yazhou Liu (Harbin Institute of Technology), Shigu...