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» Deriving Intrinsic Images from Image Sequences
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101
Voted
MLDM
2005
Springer
15 years 6 months ago
Low-Level Cursive Word Representation Based on Geometric Decomposition
Abstract. An efficient low-level word image representation plays a crucial role in general cursive word recognition. This paper proposes a novel representation scheme, where a word...
Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, Domi...
86
Voted
ECCV
2010
Springer
15 years 6 months ago
Convolutional learning of spatio-temporal features
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
96
Voted
ECCV
2006
Springer
15 years 4 months ago
Articulated-Body Tracking Through Anisotropic Edge Detection
This paper addresses the problem of articulated motion tracking from image sequences. We describe a method that relies on both an explicit parameterization of the extremal contours...
David Knossow, Joost van de Weijer, Radu Horaud, R...
91
Voted
BMVC
1998
15 years 2 months ago
Spatial Filtering Requirements for Gradient-Based Optical Flow Measurement
When using a gradient-basedmethod to determine the optical flow field for an image sequence, it is generally appreciated that some spatial pre-filtering of the images is usually n...
William J. Christmas
126
Voted
BMVC
1996
15 years 2 months ago
Spatial-Temporal Reasoning Based on Object Motion
This paper describes the continuing development of a system for tracking multiple man made objects, (typically vehicles) moving in a natural open world scene, where the detected m...
M. K. Teal, Tim J. Ellis