RGB-D datasets using microsoft kinect or similar sensors: a survey
RGB-D data has turned out to be a very useful representation of an indoor scene for solving
fundamental computer vision problems. It takes the advantages of the color image that …
fundamental computer vision problems. It takes the advantages of the color image that …
Unsupervised segmentation of point clouds from buildings using hierarchical clustering based on gestalt principles
Segmentation is a fundamental step for parsing the point clouds of three-dimensional (3-D)
scenes, which normally contain a wide variety of complex objects and structures with a large …
scenes, which normally contain a wide variety of complex objects and structures with a large …
Towards affordance detection for robot manipulation using affordance for parts and parts for affordance
As robots start to interact with their environments, they need to reason about the affordances
of objects in those environments. In most cases, affordances can be inferred only from parts …
of objects in those environments. In most cases, affordances can be inferred only from parts …
POMDP planning under object composition uncertainty: Application to robotic manipulation
Manipulating unknown objects in a cluttered environment is difficult because segmentation
of the scene into objects, that is, object composition, is uncertain. Due to the uncertainty …
of the scene into objects, that is, object composition, is uncertain. Due to the uncertainty …
Learning to recognize novel objects in one shot through human-robot interactions in natural language dialogues
Being able to quickly and naturally teach robots new knowledge is critical for many future
open-world human-robot interaction scenarios. In this paper we present a novel approach to …
open-world human-robot interaction scenarios. In this paper we present a novel approach to …
A hybrid of inference and stacked classifiers to indoor scenes classification of rgb-d images
Scene classification makes it easier to semantic scene understanding and aids to further
processes and inference, using an assignment of pre-defined classes. Under this motive, we …
processes and inference, using an assignment of pre-defined classes. Under this motive, we …
Realtime 3D segmentation for human-robot interaction
A Ückermann, R Haschke… - 2013 IEEE/RSJ …, 2013 - ieeexplore.ieee.org
We present a real-time algorithm that segments unstructured and highly cluttered scenes.
The algorithm robustly separates objects of unknown shape in congested scenes of stacked …
The algorithm robustly separates objects of unknown shape in congested scenes of stacked …
Robust stairway-detection and localization method for mobile robots using a graph-based model and competing initializations
One of the major challenges for mobile robots in human-shaped environments is navigating
stairways. This study presents a method for accurately detecting, localizing, and estimating …
stairways. This study presents a method for accurately detecting, localizing, and estimating …