Go to the documentation of this file. 1 #ifndef PLANEPRIMITIVESHAPE_HEADER
2 #define PLANEPRIMITIVESHAPE_HEADER
31 std::pair< float, float >* dn)
const;
45 std::pair< size_t, float >* score)
const;
47 void Serialize(std::ostream* o,
bool binary =
true)
const;
51 m_plane.Serialize(array);
55 return m_plane.SerializedFloatSize();
68 std::pair< float, float >* param)
const;
83 size_t* uextent,
size_t* vextent);
84 void InBitmap(
const std::pair< float, float >& param,
float epsilon,
86 size_t vextent, std::pair< int, int >* inBmp)
const;
88 float epsilon,
bool* uwrap,
bool* vwrap)
const;
91 size_t vextent,
float epsilon,
int label);
92 bool InSpace(
size_t u,
size_t v,
float epsilon,
97 template<
class IteratorT >
98 void ParametersImpl(IteratorT begin, IteratorT end,
106 template<
class IteratorT >
107 void PlanePrimitiveShape::ParametersImpl(IteratorT begin, IteratorT end,
110 bmpParams->resize(end - begin);
112 for (IteratorT i = begin; i != end; ++i, ++j)
115 (*bmpParams)[j].first = pp.
dot(m_hcs[0].Data());
116 (*bmpParams)[j].second = pp.
dot(m_hcs[1].Data());
126 for (
unsigned int i = 0; i < 3; ++i)
135 return m_plane[0] * x[0] + m_plane[1] * x[1] +
136 m_plane[2] * x[2] - m_plane[3];
141 for (
unsigned int i = 0; i < 3; ++i)
143 gradient[i] = m_plane[i];
float SignedDistToOrigin() const
virtual size_t Identifier() const =0
virtual size_t SerializedFloatSize() const
virtual void Project(const Vec3f &p, Vec3f *pp) const =0
virtual bool Fit(const PointCloud &pc, float epsilon, float normalThresh, MiscLib::Vector< size_t >::const_iterator begin, MiscLib::Vector< size_t >::const_iterator end)=0
virtual float SignedDistance(const Vec3f &p) const =0
virtual bool InSpace(float u, float v, Vec3f *p, Vec3f *n) const =0
PrimtiveShape is a shape primitive in conjunction with a parametrization.
virtual void Normal(const Vec3f &p, Vec3f *n) const =0
virtual float NormalDeviation(const Vec3f &p, const Vec3f &n) const =0
virtual PrimitiveShape * LSFit(const PointCloud &pc, float epsilon, float normalThresh, MiscLib::Vector< size_t >::const_iterator begin, MiscLib::Vector< size_t >::const_iterator end, std::pair< size_t, float > *score) const =0
virtual float Distance(const Vec3f &p) const =0
void operator()(const float *x, float *gradient) const
virtual size_t SerializedSize() const =0
const typedef Point * const_iterator
virtual void Description(std::string *s) const =0
const Vec3f & getPosition() const
double a(double t, double a0, double j)
virtual void DistanceAndNormalDeviation(const Vec3f &p, const Vec3f &n, std::pair< float, float > *dn) const =0
pcl::PointIndices::Ptr indices(const PCG &g)
Retrieve the indices of the points of the point cloud stored in a point cloud graph that actually bel...
const Plane & Internal() const
unsigned int ConfidenceTests(unsigned int numTests, float epsilon, float normalThresh, float rms, const PointCloud &pc, const MiscLib::Vector< size_t > &indices) const
double v(double t, double v0, double a0, double j)
float dot(const Vec3f &v) const
const Vec3f & getNormal() const
virtual void Parameters(const Vec3f &p, std::pair< float, float > *param) const =0
unsigned int RequiredSamples() const
virtual void BitmapExtent(float epsilon, GfxTL::AABox< GfxTL::Vector2Df > *bbox, MiscLib::Vector< std::pair< float, float > > *params, size_t *uextent, size_t *vextent)=0
float operator()(const float *x) const
virtual void InBitmap(const std::pair< float, float > ¶m, float epsilon, const GfxTL::AABox< GfxTL::Vector2Df > &bbox, size_t uextent, size_t vextent, std::pair< int, int > *inBmp) const =0
virtual void Transform(float scale, const Vec3f &translate)=0
Introduction Thank you for taking interest in our work and downloading this software This library implements the algorithm described in the paper R R R Klein Efficient RANSAC for Point Cloud Shape in Computer Graphics Blackwell June If you use this software you should cite the aforementioned paper in any resulting publication Please send comments or bug reports to Ruwen Roland BUT NOT LIMITED THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY OR CONSEQUENTIAL WHETHER IN STRICT OR EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE Example usage This section shows how to use the library to detect the shapes in a point cloud PointCloud pc
PlaneLevMarFunc(const Plane &plane)
virtual void Serialize(std::ostream *o, bool binary=true) const =0
This is the one and only serialization function It stores all the parameters of the shape as well as ...
double s(double t, double s0, double v0, double a0, double j)
virtual void Serialize(float *array) const
virtual LevMarFunc< float > * SignedDistanceFunc() const =0
class DLL_LINKAGE PlanePrimitiveShape
virtual void WrapBitmap(const GfxTL::AABox< GfxTL::Vector2Df > &bbox, float epsilon, bool *uwrap, bool *vwrap) const =0
virtual PrimitiveShape * Clone() const =0
virtual void Visit(PrimitiveShapeVisitor *visitor) const =0