Exploitation of time-of-flight (ToF) cameras

This technical report reviews the state-of-the art in the field of ToF cameras, their advantages, their limitations, and their present-day applications sometimes in combination with other sensors. Even though ToF cameras provide neither higher resolution nor larger ambiguity-free range compared to o...

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Detalles Bibliográficos
Autores: Foix Salmerón, Sergi|||0000-0001-9249-6696, Alenyà Ribas, Guillem|||0000-0002-6018-154X, Torras, Carme|||0000-0002-2933-398X
Tipo de recurso: informe técnico
Fecha de publicación:2010
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/8223
Acceso en línea:https://hdl.handle.net/2117/8223
Access Level:acceso abierto
Palabra clave:Computer vision
Human face recognition (Computer science)
Image processing
Pattern recognition systems
Time-of-Flight ToF cameras Review
Visió per ordinador
Reconeixement de formes (Informàtica)
Imatges -- Processament
Classificació INSPEC::Pattern recognition::Computer vision::Active vision
Classificació INSPEC::Pattern recognition::Image recognition::Face recognition
Classificació INSPEC::Pattern recognition::Image recognition::Gesture recognition
Classificació INSPEC::Pattern recognition::Object detection::Buried object detection
Classificació INSPEC::Pattern recognition::Object recognition
Classificació INSPEC::Pattern recognition::Image recognition::Pose estimation
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes
Descripción
Sumario:This technical report reviews the state-of-the art in the field of ToF cameras, their advantages, their limitations, and their present-day applications sometimes in combination with other sensors. Even though ToF cameras provide neither higher resolution nor larger ambiguity-free range compared to other range map estimation systems, advantages such as registered depth and intensity data at a high frame rate, compact design, low weight and reduced power consumption have motivated their use in numerous areas of research. In robotics, these areas range from mobile robot navigation and map building to vision-based human motion capture and gesture recognition, showing particularly a great potential in object modeling and recognition.