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Coenen et al., 2019 - Google Patents

Probabilistic vehicle reconstruction using a multi-task CNN

Coenen et al., 2019

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Document ID
2372974556548987714
Author
Coenen M
Rottensteiner F
Publication year
Publication venue
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops

External Links

Snippet

The retrieval of the 3D pose and shape of objects from images is an ill-posed problem. A common way to object reconstruction is to match entities such as keypoints, edges, or contours of a deformable 3D model, used as shape prior, to their corresponding entities …
Continue reading at openaccess.thecvf.com (PDF) (other versions)

Classifications

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    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268Feature extraction; Face representation
    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • GPHYSICS
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00362Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
    • G06K9/00369Recognition of whole body, e.g. static pedestrian or occupant recognition
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
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    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
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