Force estimation and prediction from time-varying density images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 33, Issue 6, 2011, Pages 1132-1146

  Jagannathan, Srinivasan ^a   Horn, Berthold K P ^b   Ratilal, Purnima ^c   Makris, Nicholas C ^a  

^a Massachusetts Institute of Technology Cambridge   (United States)

^b USA   (United States)

^c Northeastern University   (United States)

Author keywords

compressible flow estimation; density prediction; Force estimation; minimum energy flow

Indexed keywords

CELL DIVISIONS; CELL-SPLITTING; DENSITY EVOLUTION; DENSITY IMAGES; DENSITY PREDICTION; ESTIMATION TECHNIQUES; FISH SHOALS; FORCE ESTIMATION; MASS FLOW; MINIMUM ENERGY; MINIMUM ENERGY FLOW; SPATIAL SCALE; TIME VARYING;

CELL PROLIFERATION; COALESCENCE; COMPRESSIBLE FLOW; FISH; FORECASTING; INCOMPRESSIBLE FLOW; OPTIMIZATION; TIME VARYING SYSTEMS;

ESTIMATION;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; CELL CULTURE; COMPUTER ASSISTED DIAGNOSIS; FISH; IMAGE ENHANCEMENT; METHODOLOGY; MITOSIS; MOTION; PHYSIOLOGY; POPULATION DENSITY; TIME; XENOPUS LAEVIS;

ALGORITHMS; ANIMALS; CELLS, CULTURED; FISHES; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MITOSIS; MODELS, BIOLOGICAL; MOTION; POPULATION DENSITY; TIME; XENOPUS LAEVIS;

EID: 79955472273     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2010.185     Document Type: Article

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