Learning structured hough voting for joint object detection and occlusion reasoning

T Wang, X He, N Barnes - Proceedings of the IEEE …, 2013 - openaccess.thecvf.com
We propose a structured Hough voting method for detecting objects with heavy occlusion in
indoor environments. First, we extend the Hough hypothesis space to include both object …

[PDF][PDF] Depth-enhanced hough forests for object-class detection and continuous pose estimation

I Badami, J Stückler, S Behnke - Workshop on semantic …, 2013 - vision.rwth-aachen.de
Much work on the detection and pose estimation of objects in the robotics context focused
on object instances. We propose a novel approach that detects object classes and finds the …

Using depth to extend randomised hough forests for object detection and localisation

R Palmer, G West, T Tan - 2013 International Conference on …, 2013 - ieeexplore.ieee.org
Implicit Shape Models (ISM) have been developed for object detection and localisation in 2-
D (RGB) imagery and, to a lesser extent, full 3-D point clouds. Research is ongoing to …

Relative object localization using logistic regression

M Sharma, S Shukla - 2017 3rd International Conference on …, 2017 - ieeexplore.ieee.org
This paper discusses the technique of relative localization of object (Region Of Interest)
based on logistic regression classifier. In proposed method, local features for the whole …

Generic high level feature detection techniques using multi-modal spatial data

RL Palmer - 2015 - espace.curtin.edu.au
Object and pattern recognition techniques have classically used 2-D images. Mobile-
map** systems produce images with the added modality of depth. This is motivating …