Pattern Recognition Strategies for Interactive Sketch Composition
نویسندگان
چکیده
The design of industrial pen-based systems for sketch composition and interpretation is still a challenging problem when dealing with complex domains. In this paper, we present a method that is based on an eager interpretation of the user strokes, i.e. on an incremental process with visual feedback to the user. We present the benefits of using such an interactive approach in order to design efficient and robust sketch recognition. We focus more specifically on the requirements in order to avoid as much as possible to disturb the user. We show how we exploit pattern recognition strategies, for instance the evaluation of adequacy measures thanks to the fuzzy set theory, the exploitation of reject options, etc., to deal with each of these difficulties. The DALI method that we present in this paper has been used to design an industrial system for the composition of electrical sketches. We show how the presented techniques are used
منابع مشابه
IMISketch: An interactive method for sketch recognition
8 In this paper, we present a new generic method for an interactive interpreta9 tion of sketches to avoid a fastidious verification phase. After a preprocess10 ing phase in which we extract a set of primitives, the interpretation process 11 consists of an interactive analysis. The analyzer is based on a competitive 12 breadth-first exploration of the analysis tree. As opposed to well known 13 s...
متن کاملLocal Derivative Pattern with Smart Thresholding: Local Composition Derivative Pattern for Palmprint Matching
Palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. Texture is one of the most important features extracted from low resolution images. In this paper, a new local descriptor, Local Composition Derivative Pattern (LCDP) is proposed to extract smartly stronger...
متن کاملComparison Between Unsupervised and Supervise Fuzzy Clustering Method in Interactive Mode to Obtain the Best Result for Extract Subtle Patterns from Seismic Facies Maps
Pattern recognition on seismic data is a useful technique for generating seismic facies maps that capture changes in the geological depositional setting. Seismic facies analysis can be performed using the supervised and unsupervised pattern recognition methods. Each of these methods has its own advantages and disadvantages. In this paper, we compared and evaluated the capability of two unsuperv...
متن کاملHMM-Based Efficient Sketch Recognition1
Current sketch recognition systems treat sketches as images or a collection of strokes, rather than viewing sketching as an interactive and incremental process. We show how viewing sketching as an interactive process allows us to recognize sketches using Hidden Markov Models. We report results of a user study indicating that in certain domains people draw objects using consistent stroke orderin...
متن کاملEfficient search space exploration for sketch recognition
What: Sketch recognition is a natural form of interaction that has been receiving increasing attention in the research community [4], [1], [6]. One of the challenges in sketch recognition is efficient recognition. We propose to create efficient recognition by treating sketching as a dynamic process and by deriving recognition strategies from the object models specified in the language proposed ...
متن کامل