Modeling of deformable objects for robotic manipulation: A tutorial and review
Manipulation of deformable objects has given rise to an important set of open problems in
the field of robotics. Application areas include robotic surgery, household robotics …
the field of robotics. Application areas include robotic surgery, household robotics …
Object class detection: A survey
X Zhang, YH Yang, Z Han, H Wang, C Gao - ACM Computing Surveys …, 2013 - dl.acm.org
Object class detection, also known as category-level object detection, has become one of
the most focused areas in computer vision in the new century. This article attempts to …
the most focused areas in computer vision in the new century. This article attempts to …
Measuring the objectness of image windows
We present a generic objectness measure, quantifying how likely it is for an image window
to contain an object of any class. We explicitly train it to distinguish objects with a well …
to contain an object of any class. We explicitly train it to distinguish objects with a well …
What is an object?
We present a generic objectness measure, quantifying how likely it is for an image window
to contain an object of any class. We explicitly train it to distinguish objects with a well …
to contain an object of any class. We explicitly train it to distinguish objects with a well …
From images to shape models for object detection
We present an object class detection approach which fully integrates the complementary
strengths offered by shape matchers. Like an object detector, it can learn class models …
strengths offered by shape matchers. Like an object detector, it can learn class models …
Fast object localization and pose estimation in heavy clutter for robotic bin picking
We present a practical vision-based robotic bin-picking system that performs detection and
three-dimensional pose estimation of objects in an unstructured bin using a novel camera …
three-dimensional pose estimation of objects in an unstructured bin using a novel camera …
Fast directional chamfer matching
We study the object localization problem in images given a single hand-drawn example or a
gallery of shapes as the object model. Although many shape matching algorithms have …
gallery of shapes as the object model. Although many shape matching algorithms have …
Cross-modal attentional context learning for RGB-D object detection
Recognizing objects from simultaneously sensed photometric (RGB) and depth channels is
a fundamental yet practical problem in many machine vision applications, such as robot …
a fundamental yet practical problem in many machine vision applications, such as robot …
A review and an approach for object detection in images
KU Sharma, NV Thakur - International Journal of …, 2017 - inderscienceonline.com
An object detection system finds objects of the real world present either in a digital image or
a video, where the object can belong to any class of objects namely humans, cars, etc. In …
a video, where the object can belong to any class of objects namely humans, cars, etc. In …
Shape-based object detection via boundary structure segmentation
We address the problem of object detection and segmentation using global holistic
properties of object shape. Global shape representations are highly susceptible to clutter …
properties of object shape. Global shape representations are highly susceptible to clutter …