Efficient MSPSO Sampling for Object Detection and 6-D Pose Estimation in 3-D Scenes

Learning 6 D Object Pose Estimation using 3 D Object Coordinates - Supplementary Material

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Geometry-Based Automatic Object Localization and 3-D Pose Detection

Given the image of a real-world scene and a polygonal 3-D model of a depicted object, its apparent size, image coordinates, and 3-D orientation are autonomously detected. Based on matching silhouette outline to edges in the image, an extensive search in parameter space converges to the best-matching set of parameter values. Apparent object size may a-priori be unknown, and no initial search par...

3 D OBJECT DETECTION AND POSE ESTIMATION USING DEPTH CAMERA – Epson

Surface Matching for Object Recognition in Complex 3-D Scenes

We present an approach to recognition of complex objects in cluttered 3-D scenes that does not require feature extraction or segmentation. Our object representation comprises descriptive images associated with oriented points on the surface of an object. Using a single point basis constructed from an oriented point, the position of other points on the surface of the object can be described by t...

Semantic Parsing for Priming Object Detection in RGB-D Scenes

The advancements in robot autonomy and capabilities for carrying out more complex tasks in unstructured indoors environments can be greatly enhanced by endowing existing environment models with semantic information. In this paper we describe an approach for semantic parsing of indoors environments into semantic categories of Ground, Structure, Furniture and Props. Instead of striving to categor...