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» Object Recognition as Many-to-Many Feature Matching
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CVIU
2008
144views more  CVIU 2008»
13 years 10 months ago
Speeded-Up Robust Features (SURF)
This article presents a novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features). SURF approximates or even outperforms previously pro...
Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc J....
ECCV
2008
Springer
14 years 11 months ago
SIFT Flow: Dense Correspondence across Different Scenes
While image registration has been studied in different areas of computer vision, aligning images depicting different scenes remains a challenging problem, closer to recognition tha...
Ce Liu, Jenny Yuen, Antonio B. Torralba, Josef Siv...
AUGHUMAN
2010
13 years 7 months ago
Aided eyes: eye activity sensing for daily life
Our eyes collect a considerable amount of information when we use them to look at objects. In particular, eye movement allows us to gaze at an object and shows our level of intere...
Yoshio Ishiguro, Adiyan Mujibiya, Takashi Miyaki, ...
ICCV
2007
IEEE
14 years 11 months ago
Event Detection in Crowded Videos
Real-world actions occur often in crowded, dynamic environments. This poses a difficult challenge for current approaches to video event detection because it is difficult to segmen...
Yan Ke, Rahul Sukthankar, Martial Hebert
ISMAR
2009
IEEE
14 years 4 months ago
A setup for evaluating detectors and descriptors for visual tracking
In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking...
Steffen Gauglitz, Tobias Höllerer, Petra Krah...