Go to the documentation of this file. 1 #ifndef TORUSPRIMITIVESHAPE_HEADER
2 #define TORUSPRIMITIVESHAPE_HEADER
30 const Vec3f& n, std::pair< float, float >* dn)
const;
45 std::pair< size_t, float >* score)
const;
47 void Serialize(std::ostream* o,
bool binary =
true)
const;
48 void Deserialize(std::istream* i,
bool binary);
52 m_torus.Serialize(array);
56 return m_torus.SerializedFloatSize();
65 size_t begin,
size_t end,
float epsilon);
70 std::pair< float, float >* param)
const;
85 size_t* uextent,
size_t* vextent);
86 void InBitmap(
const std::pair< float, float >& param,
88 size_t uextent,
size_t vextent,
89 std::pair< int, int >* inBmp)
const;
91 float epsilon,
bool* uwrap,
bool* vwrap)
const;
93 float epsilon,
size_t uextent,
size_t vextent,
98 size_t vextent,
float epsilon,
int label);
99 bool InSpace(
size_t u,
size_t v,
float epsilon,
108 template<
class IteratorT >
109 void ParametersImpl(IteratorT begin, IteratorT end,
114 ParametrizationType m_parametrization;
117 template<
class IteratorT >
118 void TorusPrimitiveShape::ParametersImpl(IteratorT begin, IteratorT end,
121 bmpParams->resize(end - begin);
123 for (IteratorT i = begin; i != end; ++i, ++j)
125 m_parametrization.
Parameters(*i, &(*bmpParams)[j]);
139 return m_torus.SignedDistance(*((
const Vec3f*)x));
144 m_torus.Normal(*((
const Vec3f*)x), (
Vec3f*)gradient);
const Torus & Internal() const
virtual size_t SerializedFloatSize() const
virtual size_t Identifier() const =0
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
void Parameters(const Vec3f &p, std::pair< float, float > *param) const
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
float operator()(const float *x) const
virtual float Distance(const Vec3f &p) const =0
virtual size_t SerializedSize() const =0
unsigned int RequiredSamples() const
const typedef Point * const_iterator
virtual void Description(std::string *s) const =0
virtual void SuggestSimplifications(const PointCloud &pc, MiscLib::Vector< size_t >::const_iterator begin, MiscLib::Vector< size_t >::const_iterator end, float distThresh, MiscLib::Vector< MiscLib::RefCountPtr< PrimitiveShape > > *suggestions) const
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...
virtual void OptimizeParametrization(const PointCloud &pc, size_t begin, size_t end, float epsilon)
unsigned int ConfidenceTests(unsigned int numTests, float epsilon, float normalThresh, float rms, const PointCloud &pc, const MiscLib::Vector< size_t > &indices) const
void operator()(const float *x, float *gradient) const
double v(double t, double v0, double a0, double j)
TorusLevMarFunc(const Torus &t)
virtual void Parameters(const Vec3f &p, std::pair< float, float > *param) const =0
virtual void Serialize(float *array) const
class DLL_LINKAGE TorusPrimitiveShape
virtual void BitmapExtent(float epsilon, GfxTL::AABox< GfxTL::Vector2Df > *bbox, MiscLib::Vector< std::pair< float, float > > *params, size_t *uextent, size_t *vextent)=0
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
LowStretchTorusParametrization ParametrizationType
virtual void WrapComponents(const GfxTL::AABox< GfxTL::Vector2Df > &bbox, float epsilon, size_t uextent, size_t vextent, MiscLib::Vector< int > *componentImg, MiscLib::Vector< std::pair< int, size_t > > *labels) const
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 LevMarFunc< float > * SignedDistanceFunc() const =0
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