&lt;title&gt;Active object recognition using appearance-based representations derived from solid geometric models&lt;/title&gt;

Sipe, Michael A.; Casasent, David P.

doi:10.1117/12.325758

Cited by 3 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…9 are shown prior to preprocessing). Realistic images of each object were rendered by carefully replicating laboratory conditions in the CAD environment [28]. We used 120 images of each object in each rest position (in 3 increments over the full 360 aspect angle range) to construct each FST.…”

Section: Resultsmentioning

confidence: 99%

Feature space trajectory methods for active computer vision

Sipe¹,

Casasent

2002

IEEE Trans. Pattern Anal. Machine Intell.

View full text Add to dashboard Cite

We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or pose of an object is ambiguous in a given image, reposition the sensor as needed, and incorporate data from multiple object views in determining the final object class and pose estimate. A probabilistic feature space trajectory (FST) in a global eigenspace is used to represent 3D distorted views of an object and to estimate the class and pose of an input object. Confidence measures for the class and pose estimates, derived using the probabilistic FST object representation, determine when additional observations are required as well as where the sensor should be positioned to provide the most useful information. We demonstrate the ability to use FSTs constructed from images rendered from computer-aided design models to recognize real objects in real images and present test results for a set of metal machined parts.

show abstract

Section: Resultsmentioning

confidence: 99%

Feature space trajectory methods for active computer vision

Sipe¹,

Casasent

2002

IEEE Trans. Pattern Anal. Machine Intell.

View full text Add to dashboard Cite

show abstract

“…1a-c were rendered (using raytracing [10]) to resemble a real prototype of socket 1 fabricated from metal (we describe the process of rendering images to resemble real images in a prior paper [11]). In our testing, we considered sockets 1 and 2, each in two different rest positions (the second rest position is shown in Fig.…”

Section: Methodsmentioning

confidence: 99%