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» Learning Object Shape: From Drawings to Images
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AAAI
2008
15 years 8 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
CVPR
2007
IEEE
16 years 8 months ago
Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMilla...
ICIP
2002
IEEE
16 years 8 months ago
High efficient sprite coding with directional spatial prediction
Sprite is an efficient and concise method for representation of background video object, which is typically compressed with the MPEG-4 object-based coding technique. Due to the pr...
Yan Lu, Wen Gao, Feng Wu
MICCAI
2003
Springer
16 years 7 months ago
Episode Classification for the Analysis of Tissue/Instrument Interaction with Multiple Visual Cues
The assessment of surgical skills for Minimally Invasive Surgery (MIS) has traditionally been conducted with visual observation and objective scoring. This paper presents a practic...
Benny P. L. Lo, Ara Darzi, Guang-Zhong Yang
CVPR
2004
IEEE
16 years 8 months ago
Shedding Light on Stereoscopic Segmentation
We propose a variational algorithm to jointly estimate the shape, albedo, and light configuration of a Lambertian scene from a collection of images taken from different vantage po...
Hailin Jin, Daniel Cremers, Anthony J. Yezzi, Stef...