Conference Papers
PacificGraphics 2017 – Outdoor scene segmentation and reconstruction using LiDAR data
Omair Hassaan, Abeera Shamail, Zain Butt, Murtaza Taj The 25th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2017), Taipei, Taiwan, Oct 16 – 19, 2017 Abstract Recent advancements in 3D scanning technologies have paved way for generation of highly accurate 3D scenes in the form of point cloud data. For the segmentation and […]
CGI 2016 – Coarse-to-fine model fitting on point cloud
Reema Bajwa, Syed Rizwan Gilani, Murtaza Taj Short Paper Proceedings of the 33rd Computer Graphics International, Heraklion, Greece, June 28 – July 1, 2016 Abstract We present a coarse-to-fine model fitting approach that automatically generates a detailed CAD like model from a point cloud. We first developed a library of detailed parametric models for each […]
Eurographics 2015 – Efficient RANSAC for n-gonal Primitive Fitting
Ahsan Abdullah, Reema Bajwa, Syed Rizwan Gilani, Zuha Agha, Saeed Boor Boor, Murtaza Taj, Sohaib Ahmed Khan The 36th Annual Conference of the European Association for Computer Graphics, 2015 Kongresshaus in Zürich, Switzerland, 4th – 8th May, 2015 Abstract We present a modeling approach to automatically fit 3D primitives to point clouds in order to […]
ECCV 2012 – Shape from Angle Regularity
This paper presents a new Shape-from-X method which is applicable for typical man-made environments which have a profusion of orthogonal lines. A full single-view reconstruction method for multi-planar man-made scenes is demonstrated. Authors: Aamer Zaheer, Maheen Rashid, Sohaib Khan, ECCV 2012.
ICIP 2012 – Interaction Recognition in Wide Areas Using Audiovisual Sensors
Murtaza Taj, Andrea Cavallaro International Conference on Image Processing, ICIP 2012 Abstract We present an event recognition framework to detect interactions among objects, for example people, using a network of cameras and associated microphone pairs. The complementarity of the video and audio modalities is exploited to cover wide areas. In particular, object movements in portions of the scene that […]
ICCV 2011 – Multiview Structure from Motion in Trajectory Space
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, […]
ICIP 2009 – Early Termination Algorithms for Adaboost Based Detectors
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 […]
BMVC 2009 – VillageFinder: Segmentation of Nucleated Villages in Satellite Imagery
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 […]
CVPR 2009 – In Defense of Orthonormality Constraints for Nonrigid Structure from Motion
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 […]
NIPS 2008 – Nonrigid Structure from Motion in Trajectory Space
Ijaz Akhter, Yaser Sheikh, Sohaib Khan, Takeo Kanade 22nd Annual Conference on Neural Information Processing Systems, NIPS, Dec 2008 (Best Student Paper Nomination, ORAL, 2.7% acceptance rate) 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, which have to […]
