Results 1 - 10 of 99

Local features and kernels for classification of texture and object categories: a comprehensive study

by J. Zhang, S. Lazebnik, C. Schmid - International Journal of Computer Vision , 2007
"... Recently, methods based on local image features have shown promise for texture and object recognition tasks. This paper presents a large-scale evaluation of an approach that represents images as distributions (signatures or histograms) of features extracted from a sparse set of keypoint locations an ..."
Abstract - Cited by 653 (34 self) - Add to MetaCart
for classification of texture and object images under challenging real-world conditions, including significant intra-class variations and substantial background clutter.

Distinctive Image Features from Scale-Invariant Keypoints

by David G. Lowe , 2003
"... This paper presents a method for extracting distinctive invariant features from images, which can be used to perform reliable matching between different images of an object or scene. The features are invariant to image scale and rotation, and are shown to provide robust matching across a a substa ..."
Abstract - Cited by 8955 (21 self) - Add to MetaCart
substantial range of affine distortion, addition of noise, change in 3D viewpoint, and change in illumination. The features are highly distinctive, in the sense that a single feature can be correctly matched with high probability against a large database of features from many images. This paper also

Interactive perception in clutter

by Megha Gupta, Gaurav S. Sukhatme - in The RSS 2012 Workshop on Robots in Clutter: Manipulation, Perception and Navigation in Human Environments
"... Abstract—In robotic manipulation tasks, perception traditionally precedes the act of manipulation, after which the two are typically interleaved. Perception thus enables efficient and effective manipulation. This paper explores the idea that manipulation enables efficient and effective perception, w ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
to improve perception. We show substantial improvement on the overall task (sorting) by inserting manipulation aids into the task operation. For exploring a cluttered environment, we describe a strategy that uses adaptive look-ahead planning interleaved with object manipulation to improve perception. We

ULTRASOUND MULTIPATH BACKGROUND CLUTTER MITIGATION BASED ON SUBSPACE ANALYSIS AND PROJECTION

by Shen Xizhong, Yimin D. Zhang, Moeness G. Amin, Ramazan Demirli
"... In this paper, we consider ultrasound imaging of flaws in a metallic alloy where the presence of strong bottom surface reflection and other interference signals constitutes a challenging problem. A subspace-based approach is developed for removing, or significant-ly reducing, bottom surface reflecti ..."
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propagation. We also estimate and compensate, using signal corre-lation methods, for changes in the same time delays due to imper-fect sensor displacements on the top surface of the alloy. Experi-mental results show that substantial clutter suppression can be achieved with negligible effects to the flaw

Groups of Adjacent Contour Segments for Object Detection

by V. Ferrari, L. Fevrier, F. Jurie, C. Schmid , 2007
"... We present a family of scale-invariant local shape features formed by chains of k connected, roughly straight contour segments (kAS), and their use for object class detection. kAS are able to cleanly encode pure fragments of an object boundary, without including nearby clutter. Moreover, they offer ..."
Abstract - Cited by 188 (7 self) - Add to MetaCart
We present a family of scale-invariant local shape features formed by chains of k connected, roughly straight contour segments (kAS), and their use for object class detection. kAS are able to cleanly encode pure fragments of an object boundary, without including nearby clutter. Moreover, they offer

Detecting Features in Spatial Point Processes with . . .

by Abhijit Dasgupta, Adrian E. Raftery , 1995
"... We consider the problem of detecting features in spatial point processes in the presence of substantial clutter. One example is the detection of mine elds using reconnaissance aircraft images that erroneously identify many objects that are not mines. Another is the detection of seismic faults on the ..."
Abstract - Cited by 127 (31 self) - Add to MetaCart
We consider the problem of detecting features in spatial point processes in the presence of substantial clutter. One example is the detection of mine elds using reconnaissance aircraft images that erroneously identify many objects that are not mines. Another is the detection of seismic faults

Using Manipulation Primitives for Object Sorting in Cluttered Environments

by Megha Gupta, Jörg Müller, Gaurav S. Sukhatme
"... This paper explores the idea of manipulation-aided perception and grasping in the context of sorting small objects on a cluttered tabletop. We present a robust pipeline that combines perception and manipulation to accurately sort objects by some property (eg., color, size, shape etc.). The pipeline ..."
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This paper explores the idea of manipulation-aided perception and grasping in the context of sorting small objects on a cluttered tabletop. We present a robust pipeline that combines perception and manipulation to accurately sort objects by some property (eg., color, size, shape etc.). The pipeline

Efficient Mixed-Integer Planning for UAVs in Cluttered Environments

by Robin Deits, Russ Tedrake
"... Abstract — We present a new approach to the design of smooth trajectories for quadrotor unmanned aerial vehicles (UAVs), which are free of collisions with obstacles along their entire length. To avoid the non-convex constraints normally required for obstacle-avoidance, we perform a mixed-integer opt ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
-compute convex regions of safe space. This results in a substantially reduced number of integer variables, which improves the speed with which the optimization can be solved to its global optimum, even for tens or hundreds of obstacle faces. In addition, prior approaches have typically enforced obstacle

Multi Target Tracking of Ground Targets in Clutter with LMIPDA-IMM

by Darko Musicki, Sofia Suvorova, Subhash Challa
"... Tracking of ground targets presents a number of challenges. Target trajectories meet various motion constraints. Substantial non-homogenous clutter is usually present. In multitarget situations measurement assignment may be computationally challenging as the number of operations increases exponentia ..."
Abstract - Cited by 5 (2 self) - Add to MetaCart
Tracking of ground targets presents a number of challenges. Target trajectories meet various motion constraints. Substantial non-homogenous clutter is usually present. In multitarget situations measurement assignment may be computationally challenging as the number of operations increases

Adaptive Spatial-Temporal Filtering Methods for Clutter Removal and Target Tracking

by Er G. Tartakovsky, Senior Member, James Brown
"... Abstract — In space-based infrared ballistic missile defense sensor systems, cluttered backgrounds are typically much more intense than the equivalent sensor noise or the targets being detected. Therefore, the development of efficient clutter removal and target preservation/enhancement algorithms is ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
of simulations and processing of real data show that the developed adaptive spatialtemporal clutter suppression algorithms allow for efficient clutter rejection in all tested situations. Proposed algorithms completely remove heavy clutter in the presence of substantial jitter and do not require expensive sub
Results 1 - 10 of 99