You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: A Survey on Non-rigid 3D Shape Analysis 
Chapter Title:  Choice of the template T 
1. Abstract of Cited Paper (BIB001):  A circuit for controlling a display panel identifying malfunctions in an engine generator receives a plurality of electrical signals from the engine generator, each of which identifies a particular trouble. The electrical signal may be produced by closing a switch. It is caused to operate a latch that lights a light associated with the particular malfunction. Indications of other malfunctions are suppressed until the circuit is reset. A manual reset tests all lights and then leaves them off ready to respond. A power-up reset does not test lights but leaves all lights off ready to respond. The circuit is rendered especially appropriate for military use by hardening against radiation and against pulses of electromagnetic interference. 
2. Abstract of Cited Paper (BIB002):  The paper presents a method to estimate the detailed 3D body shape of a person even if heavy or loose clothing is worn. The approach is based on a space of human shapes, learned from a large database of registered body scans. Together with this database we use as input a 3D scan or model of the person wearing clothes and apply a fitting method, based on ICP (iterated closest point) registration and Laplacian mesh deformation. The statistical model of human body shapes enforces that the model stays within the space of human shapes. The method therefore allows us to compute the most likely shape and pose of the subject, even if it is heavily occluded or body parts are not visible. Several experiments demonstrate the applicability and accuracy of our approach to recover occluded or missing body parts from 3D laser scans. 
3. Abstract of Cited Paper (BIB003):  In this paper we propose a multilinear model of human pose and body shape which is estimated from a database of registered 3D body scans in different poses. The model is generated by factorizing the measurements into pose and shape dependent components. By combining it with an ICP based registration method, we are able to estimate pose and body shape of dressed subjects from single images. If several images of the subject are available, shape and poses can be optimized simultaneously for all input images. Additionally, while estimating pose and shape, we use the model as a virtual calibration pattern and also recover the parameters of the perspective camera model the images were created with.

Literature Review:
When dealing with 3D models of the same class, e.g. human body shapes, one can define the template T as a typical 3D model in a neutral pose. This has been used in the SCAPE model BIB001 and in many other papers BIB002 , BIB003 for the analysis of human body shapes. In general, the template T can be any surface, e.g. a sphere, of same topology and triangulation as the surfaces being analyzed. In practice, however, domain specific templates are desirable to improve robustness and computation time. Alternatively, one can define T as a single canonical triangle in the xy-plane BIB004 . An exception to these representations is the SCAPE model BIB001 where, in addition to the template mesh T , an articulated skeleton is used to capture articulated motion. These approaches operate on meshes that are in full correspondence with exactly the same connectivity.