The three-dimensional reconstruction problem is a longstanding ill-posed problem, which has made enormous progress in the field of computer vision. This field has attracted increasing interest and demonstrated an impressive performance. Due to a long era of increasing evolution, this paper presents an extensive review of the developments made in this field. For the three dimensional visualization, researchers have focused on the developments of three dimensional information and acquisition methodologies from two dimensional scenes or objects. These acquisition methodologies require a complex calibration procedure which is not practical in general. Hence, the requirement of flexibility was much needed in all these methods. Due to this emerging factors, many techniques were presented. The methodologies are organized on the basis of different aspects of the three dimensional reconstruction like active method, passive method, different geometrical shapes, etc. A brief analysis and comparison of the performance of these methodologies are also presented.
(SI10-124) Inverse Reconstruction Methodologies: A Review,
Applications and Applied Mathematics: An International Journal (AAM), Vol. 17,
3, Article 3.
Available at: https://digitalcommons.pvamu.edu/aam/vol17/iss3/3