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Displaying 1-12 out of 12 total
DAISY Filter Flow: A Generalized Discrete Approach to Dense Correspondences
Found in: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Hongsheng Yang,Wen-Yan Lin,Jiangbo Lu
Issue Date:June 2014
pp. 3406-3413
Establishing dense correspondences reliably between a pair of images is an important vision task with many applications. Though significant advance has been made towards estimating dense stereo and optical flow fields for two images adjacent in viewpoint o...
 
Robust Non-parametric Data Fitting for Correspondence Modeling
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Wen-Yan Lin,Ming-Ming Cheng,Shuai Zheng,Jiangbo Lu,Nigel Crook
Issue Date:December 2013
pp. 2376-2383
We propose a generic method for obtaining nonparametric image warps from noisy point correspondences. Our formulation integrates a huber function into a motion coherence framework. This makes our fitting function especially robust to piecewise corresponden...
 
Cross-based local multipoint filtering
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Jiangbo Lu, Keyang Shi, Dongbo Min, Liang Lin,M. N. Do
Issue Date:June 2012
pp. 430-437
This paper presents a cross-based framework of performing local multipoint filtering efficiently. We formulate the filtering process as a local multipoint regression problem, consisting of two main steps: 1) multipoint estimation, calculating the estimates...
 
A revisit to cost aggregation in stereo matching: How far can we reduce its computational redundancy?
Found in: Computer Vision, IEEE International Conference on
By Dongbo Min,Jiangbo Lu,Minh N. Do
Issue Date:November 2011
pp. 1567-1574
This paper presents a novel method for performing an efficient cost aggregation in stereo matching. The cost aggregation problem is re-formulated with a perspective of a histogram, and it gives us a potential to reduce the complexity of the cost aggregatio...
 
Scheduling transmissions of real-time video coded frames in video conferencing applications over the Internet
Found in: Multimedia and Expo, IEEE International Conference on
By Jiangbo Lu, Benjamin W. Wah
Issue Date:July 2010
pp. 1695-1700
This paper presents a novel mechanism for scheduling packet transmissions of real-time video conferencing over the public Internet. By scheduling transmissions of video packets at different priorities in the presence of packet losses and delays, we aim to ...
 
Real-time stereo matching: A cross-based local approach
Found in: Acoustics, Speech, and Signal Processing, IEEE International Conference on
By Jiangbo Lu, Ke Zhang, Gauthier Lafruit, Francky Catthoor
Issue Date:April 2009
pp. 733-736
We propose an area-based local stereo matching algorithm that yields accurate disparity estimates, while achieving the real-time speed completely on the graphics processing unit (GPU). For a local stereo method, the key challenge is to decide an appropriat...
 
Interpolation error as a quality metric for stereo: Robust, or not?
Found in: Acoustics, Speech, and Signal Processing, IEEE International Conference on
By Jiangbo Lu, Qiong Yang, Gauthier Lafruit
Issue Date:April 2009
pp. 977-980
To properly benchmark and stimulate current stereo algorithms specifically in the application context of view interpolation, a robust quantitative evaluation approach is important. As a prevailing quality assessment method, interpolation error has been wid...
 
Multiple foreground recognition and cosegmentation: An object-oriented CRF model with robust higher-order potentials
Found in: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Hongyuan Zhu, Jiangbo Lu, Jianfei Cai, Jianming Zheng,Nadia M. Thalmann
Issue Date:March 2014
pp. 485-492
Localizing, recognizing, and segmenting multiple foreground objects jointly from a general user's photo stream that records a specific event is an important task with many useful applications. As argued in recent Multiple Foreground Cosegmentation (MFC) wo...
   
Joint Histogram-Based Cost Aggregation for Stereo Matching
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Dongbo Min, Jiangbo Lu,M. N. Do
Issue Date:October 2013
pp. 2539-2545
This paper presents a novel method for performing efficient cost aggregation in stereo matching. The cost aggregation problem is reformulated from the perspective of a histogram, giving us the potential to reduce the complexity of the cost aggregation in s...
 
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Keyang Shi,Keze Wang,Jiangbo Lu,Liang Lin
Issue Date:June 2013
pp. 2115-2122
Driven by recent vision and graphics applications such as image segmentation and object recognition, assigning pixel-accurate saliency values to uniformly highlight foreground objects becomes increasingly critical. More often, such fine-grained saliency de...
 
Patch Match Filter: Efficient Edge-Aware Filtering Meets Randomized Search for Fast Correspondence Field Estimation
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Jiangbo Lu,Hongsheng Yang,Dongbo Min,Minh N. Do
Issue Date:June 2013
pp. 1854-1861
Though many tasks in computer vision can be formulated elegantly as pixel-labeling problems, a typical challenge discouraging such a discrete formulation is often due to computational efficiency. Recent studies on fast cost volume filtering based on effici...
 
CuteChat: a lightweight tele-immersive video chat system
Found in: Proceedings of the 19th ACM international conference on Multimedia (MM '11)
By Bhavdeep Singh, Jiangbo Lu, Minh N. Do, Viet Anh Nguyen, Zeping Niu, Zhiping Luo
Issue Date:November 2011
pp. 1309-1312
This paper presents a lightweight tele-immersive video chat system named CuteChat. Based on our recently developed video object cutout technology, the CuteChat system is designed and optimized to provide a radically new video chat experience by merging eac...
     
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