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BCS
2008
15 years 8 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
215
Voted
IJCV
2000
180views more  IJCV 2000»
15 years 6 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe
197
Voted
ICASSP
2010
IEEE
15 years 5 months ago
Real-time content adaptive contrast enhancement for see-through fog and rain
In this paper we present a novel algorithm for improving the visibility of surveillance videos degraded by fog and/or rain. The proposed algorithm adaptively enhances the global a...
Zhen Jia, Hongcheng Wang, Rodrigo Caballero, Ziyou...
ICASSP
2011
IEEE
14 years 10 months ago
A revisit to MRF-based depth map super-resolution and enhancement
This paper presents a Markov Random Field (MRF)-based approach for depth map super-resolution and enhancement. Given a low-resolution or moderate quality depth map, we study the p...
Jiangbo Lu, Dongbo Min, Ramanpreet Singh Pahwa, Mi...
174
Voted
CVPR
2004
IEEE
16 years 8 months ago
3D Head Tracking Based on Recognition and Interpolation Using a Time-of-Flight Depth Sensor
This paper describes a head-tracking algorithm that is based on recognition and correlation-based weighted interpolation. The input is a sequence of 3D depth images generated by a...
Carlo Tomasi, Salih Burak Göktürk