aimsalgo 6.0.0
Neuroimaging image processing
samplable_cone.h
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33
34
35#ifndef AIMS_RESAMPLING_SAMPLABLE_CONE_H
36#define AIMS_RESAMPLING_SAMPLABLE_CONE_H
37
39
40namespace aims
41{
42
43 class ConeSamplable : public aimsalgo::Samplable<float, 3>
44 {
45 public:
46 ConeSamplable( const Point3df & arrow, const Point3df & base,
47 float radius );
48 virtual ~ConeSamplable() {}
49 virtual bool contains( AimsVector<float,3> & vector )
50 {
51 // std::cout << "ConeSamplable::contains " << vector << std::endl;
52 float pos = vector.dot( _direction );
53 if( pos >= _proj0 and pos <= _proj1 )
54 {
55 float rmax = (pos - _proj0) / (_proj1 - _proj0) * _radius;
56 float r = ( vector - _cax0 - _direction * pos ).norm();
57 if( r <= rmax )
58 return true;
59 }
60 return false;
61 }
62
63 private:
64 Point3df _arrow;
65 Point3df _base;
66 float _radius;
67
68 Point3df _direction;
69 float _proj0;
70 float _proj1;
71 Point3df _cax0;
72 };
73
74
76 const Point3df & base, float radius )
77 : aimsalgo::Samplable<float, 3>(), _arrow( arrow ), _base( base ),
78 _radius( radius )
79 {
80 _direction = base - arrow;
81 _direction /= _direction.norm();
82 _proj0 = _direction.dot( arrow );
83 _proj1 = _direction.dot( base );
84 _cax0 = _arrow - _direction * _proj0;
85 }
86
87}
88
89#endif
90
T dot(const AimsVector< T, D > &other) const
float norm() const
ConeSamplable(const Point3df &arrow, const Point3df &base, float radius)
virtual bool contains(AimsVector< float, 3 > &vector)
The virtual template class fo which samplable classes must inherit from.
AIMSDATA_API float norm(const Tensor &thing)
AimsVector< float, 3 > Point3df