3. Istanbul 2004 
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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004 
     
  
far and the solid of rotation is not bigger than the rotating 
platform. So this set of the system and this approach are 
applicable for the relatively small target object. 
® The reflection of the projecting light from the target 
object is complex and variable with different colour or 
material of the solid of rotation. If the reflection is not 
clear or is more than one, it would happen that the 
extraction of the feature becomes difficult or is 
reduplicate. So the reflection from the solid of rotation 
need be good enough. 
® The experimental results of the model is not added the 
real texture. So the collection of the real texture of the 
target object is demanded. Then the real texture should 
add to the model. 
® The experimental target of the paper aims at the simple 
solid of rotation. So the approach and the algorithm need 
to be consummated and meliorated for applying to the 
complex solid of rotation. 
To these limitations above, the future work that will be done is 
as following. 
€ The feature projected should be designed carefully and in 
detailed according to the different target object. It is its 
size, its shape, its colour, its brightness and so on that 
should be considered entirely. It is a trial and error 
procedure. 
€ When the digital camera takes sequential images with 
feature projected, it also takes another sequential images 
with no feature at the same time. These images are 
functioned as the data of the real texture of the target 
object. The 3D model of the solid of rotation is acquired 
by the image data and the texture is achieved form 
relative images with no projected feature. 
€ The 3D reconstruction of the complex target object is 
divided into two main steps. The main body of the target 
object is reconstructed first as a solid of rotation. Then, 
affiliation of the target object is located onto the model of 
the main body. The latter is the key work of the next. 
To sum up, the future work is put forward for the next research 
on the basis of the approach and the algorithm proposed by the 
paper. 
ACKNOWLEDGMENTS 
Thanks for the supporting from Specialized Research Fund for 
the Doctoral Program of Higher Education, P. R. China (No. 
2001048601 1). 
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