Our paper in ACM Transactions on Graphics April 2012 presents a fundamentally new way to model time-varying point clouds, that dramatically reduces processing times for common graphics pipeline tasks such as labeling, gap-filling, denoising, and motion touch-up. This is joint work with Carnegie Mellon University and Disney Research Pittsburgh, and has been presented at Siggraph 2012.
Arif Mahmood, Sohaib Khan IEEE Transactions on Image Processing, Vol 21, No 4, April 2012 Abstract Partial computation elimination techniques are often used for fast template matching. At a particular search location, computations are prematurely terminated as soon as it is found that this location cannot compete already known best-match location. Due to non-monotonic growth…
Aamer Zaheer, Ijaz Akhter, Mohammad Haris Baig, Shabbir Marzban, Sohaib Khan International Conference on Computer Vision, ICCV, 2011 Abstract Most nonrigid objects exhibit temporal regularities in their deformations. Recently it was proposed that these regularities can be parameterized by assuming that the non- rigid structure lies in a small dimensional trajectory space. In this paper,…
Ijaz Akhter, Yaser Sheikh, Sohaib Khan, Takeo Kanade IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 33, No 7, Jul 2011 Abstract Existing approaches to nonrigid structure from motion assume that the instantaneous 3D shape of a deforming object is a linear combination of basis shapes. These basis are object dependent and therefore have…
Murtaza Taj, Andrea Cavallaro IEEE Signal Processing Magazine, 2011 Abstract In recent years the decreasing cost of cameras and advances in miniaturization have favoured the deployment of largescale camera networks. This growing number of cameras enables new signal processing applications that use cooperatively multiple sensors over wide areas. In particular, object tracking is an important…
Arif Mahmood, Sohaib Khan IEEE Transactions on Image Processing, Vol 19, N0. 8, Aug 2010 Abstract Elimination Algorithms are often used in template matching to provide a significant speed-up by skipping portions of the computation while guaranteeing the same best-match location as exhaustive search. In this work, we develop elimination algorithms for correlation-based match measures…
Tariq Butt, Tabish Mufti, Ahmad Humayun, Peter B. Rosenthal, Sohaib Khan, Shahid Khan, Justin E. Molloy Journal of Biological Chemistry, Vol 285, No 7, Feb 12, 2010 Abstract The bulk alignment of actin filament sliding movement, powered by randomly oriented myosin molecules, has been observed and studied using an in vitro motility assay. The well…
Arif Mahmood, Sohaib Khan 16th International Conference on Image Processing, Cairo, Egypt, Nov 7-10, 2009 Abstract In this paper we propose an early termination algorithm for speeding up the detection phase of the Adaboost based de- tectors. In the basic algorithm, at a specific search location, the AdaBoost ensemble response is computed as monotonic decreasing…
Kashif Murtaza, Sohaib Khan, Nasir Rajpoot British Machine Vision Conference (BMVC), September 2009 Abstract Geo-spatial data on village locations, their size, population and other parameters is scarcely available to decision makers in many developing countries. In this paper, we demonstrate an automatic “crawler” which can segment nucleated villages from satellite imagery freely available in public…
Ijaz Akhter, Yaser Sheikh, Sohaib Khan IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2009 (Oral, 4.1% acceptance rate) Abstract In factorization approaches to nonrigid structure from motion, the 3D shape of a deforming object is usually modeled as a linear combination of a small number of basis shapes. The original approach to simultaneously…
