Tissue surface reconstruction aided by local normal information using a self-calibrated endoscopic structured light system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9349, Issue , 2015, Pages 405-412

  Lin, Jianyu ^a   Clancy, Neil T ^a   Stoyanov, Danail ^b   Elson, Daniel S ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Endoscopy; Light pattern decoding; Normal; Reconstruction; Selfcalibration; Structured light

Indexed keywords

AUGMENTED REALITY; DECODING; ENDOSCOPY; GEOMETRICAL OPTICS; IMAGE RECONSTRUCTION; ITERATIVE DECODING; ITERATIVE METHODS; PROBES; SURGERY; TISSUE;

LIGHT PATTERNS; MINIMALLY INVASIVE SURGERY; NORMAL; RECONSTRUCTION ACCURACY; SELF CALIBRATION; STRUCTURED LIGHT; STRUCTURED LIGHT SYSTEMS; SURGICAL ENVIRONMENT;

SURFACE RECONSTRUCTION;

EID: 84947589817     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-24553-9_50     Document Type: Chapter

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