Point Cloud Library (PCL)
1.15.1
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features
src
utils
vector_operations.hpp
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/*
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* Software License Agreement (BSD License)
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*
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* Copyright (c) 2011, Willow Garage, Inc.
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above
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* copyright notice, this list of conditions and the following
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* disclaimer in the documentation and/or other materials provided
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* with the distribution.
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* * Neither the name of Willow Garage, Inc. nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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* Author: Anatoly Baskeheev, Itseez Ltd, (myname.mysurname@mycompany.com)
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*/
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#ifndef PCL_GPU_FEATURS_DEVICE_VECTOR_OPERATIONS_HPP_
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#define PCL_GPU_FEATURS_DEVICE_VECTOR_OPERATIONS_HPP_
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#include <pcl/gpu/features/device/rodrigues.hpp>
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#include <pcl/gpu/utils/device/vector_math.hpp>
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namespace
pcl
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{
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namespace
device
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{
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__forceinline__ __device__ __host__ float3
operator/
(
const
float3& vec,
float
val)
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{
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return
make_float3(vec.x/val, vec.y/val, vec.z/val);
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}
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__device__ __host__ __forceinline__ float3&
operator/=
(float3& v,
const
float
& value)
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{
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v.x /= value;
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v.y /= value;
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v.z /= value;
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return
v;
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}
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__device__ __host__ __forceinline__
float
norm
(
const
float3& v1,
const
float3& v2)
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{
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float
dx = v1.x - v2.x;
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float
dy = v1.y - v2.y;
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float
dz = v1.z - v2.z;
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return
sqrtf(dx*dx + dy*dy + dz*dz);
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}
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template
<
typename
T> __device__ __forceinline__ float3
tr
(
const
T& v)
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{
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return
make_float3(v.x, v.y, v.z);
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}
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inline
__host__ __device__ float3
normalize
(
const
float3& v)
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{
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return
v *
inverse_norm
(v);
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}
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}
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}
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#endif
/* PCL_GPU_FEATURS_DEVICE_VECTOR_OPERATIONS_HPP_ */
pcl::device
Definition
device_array.h:315
pcl::device::inverse_norm
__host__ __device__ __forceinline__ float inverse_norm(const T &v)
Definition
vector_math.hpp:113
pcl::device::tr
__device__ __forceinline__ float3 tr(const T &v)
Definition
vector_operations.hpp:68
pcl::device::operator/
__forceinline__ __device__ __host__ float3 operator/(const float3 &vec, float val)
Definition
vector_operations.hpp:47
pcl::device::normalize
__host__ __device__ float3 normalize(const float3 &v)
Definition
vector_operations.hpp:73
pcl::device::norm
__device__ __host__ __forceinline__ float norm(const float3 &v1, const float3 &v2)
Definition
vector_operations.hpp:60
pcl::device::operator/=
__device__ __host__ __forceinline__ float3 & operator/=(float3 &v, const float &value)
Definition
vector_operations.hpp:52
pcl
Definition
convolution.h:46